Figurative language confuses chatbots
When chatbots are confronted with dialog that includes idioms or similes, their performance drops to between 10 and 20 percent.
Search for: medical training
The gait lab for the pocket – app-based fall prevention
Every day, elderly people fall – be it at home or in care facilities. Lindera aims to reduce the risk of falling with the help of artificial intelligence.
Smart system helps robots navigate emergency rooms
Scientists have developed a more accurate navigation system that allows robots to better negotiate busy clinical environments in general and emergency departments more specifically.
Machine learning flags emerging pathogens
A new machine learning tool could be useful for flagging dangerous bacteria before they cause an outbreak, from hospital wards to a global scale.
Deep learning tool to revolutionize microscopy
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
4D-simulator breakthrough in brain surgery
A new training technology will improve patient safety during future procedures: a new 4D simulator enables the planning, testing and optimization of the procedure.
AIs detect diabetic eye disease inconsistently
Although some artificial intelligence software tested reasonably well, only one met the performance of human screeners.
First-ever living 3D-printed aneurysm
Using 3D printing, researchers replicated an aneurysm in vitro and performed an endovascular repair procedure on the printed aneurysm.
VisionBlender generates computer vision datasets for robotic surgery
Researchers at the Hamlyn Centre, Imperial College London, have introduced a novel tool for generating accurate endoscopic datasets.
BCI training reduces phantom limb pain
Scientists used brain-computer-interface to train the brains of patients to reduce phantom-hand pain.
mhealth: App determines COVID-19 disease severity
A new mobile app can help clinicians determine which patients with the novel coronavirus (COVID-19) are likely to have severe cases.
A GPS-like system for flexible medical robots
Roboticists at the University of California San Diego have developed an affordable, easy to use system to track the location of flexible surgical robots inside the human body.
Neural networks help cardiac diagnostics
Artificial intelligence may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart.
Toyota launches rehabilitation assist robot
Toyota has announced the launch of a robot designed to provide rehabilitation support to individuals with lower limb paralysis
Robotic thread to clear stroke clots
Engineers have developed a magnetically steerable, thread-like robot that can actively glide through narrow, winding pathways, such as the labrynthine vasculature of the brain.
VR and lightweight robot simulate hip replacement
Researchers have developed a HIPS, the worldwide first Virtual Reality training simulator for hip replacement surgery.
Augmented reality makes for better surgeons
A PhD candidate in computer science has developed an augmented reality headset to help brain surgeons train for high-risk operations.
Robopets can benefit health of elderly
Robotic pets that respond to human interaction can benefit the health and wellbeing of older people living in care home.
Mentally ill avatars
To teach medical students, scientists have created avatars that feature typical symptoms of different mental disorders as well as psychiatric and psychotherapeutic treatment situations.
3D printing and AI improve cochlear implants
3D printing and machine learning unite in new research to improve cochlear implants for users.
Artificial intelligence betters holographic displays
Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.
Diabetes retinal screening through deep learning
Ubotica has developed a deep learning-based solution for detecting the presence of diabetic retinopathy indicators in retinal images.
Biocompatible and sustainable plastics for medical applications
Fraunhofer Institute is developing polyurethanes of a reproducible standard.
Exoskeleton: Increased cognitive demands offset advantages
The wearable devices aim to reduce or redistribute spine loading associated with heavy manual work.
AI Eve augments genetic tests
AI model called EVE shows remarkable capacity to interpret the meaning of gene variants in humans as benign or disease-causing.
Machine learning diagnoses COVID-19 from chest CTs
Scientists have developed an algorithm for rapid, computerized diagnosis of COVID-19, overcoming the limitations of reverse transcription polymerase chain reaction.
AI spots anomalies in medical images
The neural network detects anomalies in medical images more successfully than general-purpose solutions.
How 5 upper body exoskeletons support natural movements
We present five upper body exoskeletons that might help restore natural hand or limb movements.
Enabling AI-driven advances without sacrificing privacy
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
3D printed patch offers vaccination without a shot
A 3D printed microneedle vaccine patch delivers stronger immune response than a vaccine shot.
“Medical 3D printing is a game changer”
Interview with Andreas Giannopoulos, MD and PhD, a Deputy Attending Physician in the Department of Nuclear Medicine at the University Hospital Zurich.
The progress and risks of artificial intelligence
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
Cyber-physical organ twins to train surgeons
Researchers have developed a range of artificial organ phantoms to serve as training platforms for surgeons.
A pen to pin down the fringes of cancer
The MasSpec Pen has shown to accurately differentiate healthy and cancerous tissue from banked pancreas samples during surgery.
AI screens and diagnoses glaucoma
Scientists have developed a novel method that uses artificial intelligence to screen for glaucoma.
Using AI and video for early detection of autism
Using artificial intelligence, researchers have developed a device for the early detection of autism spectrum disorder in children.
“XR is fusing surgical reality with medical images”
Egidijus Pelanis, a medical doctor at Oslo University Hospital, explains how extended realities is applied in the operating room.
Wearable devices in the surgical environment
In surgery, wearable technologies can assist, augment, and provide a means of patient assessment before, during and after surgical procedures.
Robot-assisted therapy can help treat stroke survivors
Exoskeleton-assisted rehabilitation can be beneficial in treating stroke survivors.
Deep learning: classifying brain tumors with a single 3D MRI scan
A team of researchers at Washington University School of Medicine have developed a deep learning model that is capable of classifying a brain tumor as one of six common types using a single 3D MRI scan.
World-leading pioneers speak at Medical XR congress
At Shift Medical, more than 60 leading medical XR experts will present and discuss the latest developments on the use of digital technologies such as virtual reality, augmented reality and mixed reality in medicine.
Robotic scanner automates diagnostic imaging in the eye
Engineers and ophthalmologists have developed a robotic imaging tool that can automatically detect and scan a patient's eyes for markers of different eye diseases.
Gamification in diabetes care
The number of gamified mobile applications is rising rapidly—especially in healthcare. This article illustrates how gamification is employed in diabetes care.
Assessing risk of vascular inflammation for diabetics
Scientists have developed a simple method of extracting tiny biological particles from a person's blood and use them as biomarkers to assess the health of their blood vessels.
Artificial intelligence shortcuts introduce bias in cancer treatment
AI tools models are a powerful tool in cancer treatment. However, unless these algorithms are properly calibrated, they can sometimes make inaccurate or biased predictions.
Wearable devices can reduce collision risk in blind people
A wearable computer vision device can reduce collisions for both people who are blind or those who are visually impaired and using a long cane and/or guide dog by 37 percent, compared to using other mobility aids alone.
Hip implant simulator for virtual surgery training
The team of the Dynamic HIPS are working on a hip replacement simulator that will help future surgeons to practice the intervention.
How to improve VR use in medical education
A new report could help improve how immersive technologies such as virtual reality (VR) and augmented reality (AR) are used in healthcare education and medical training.
Photos of toasters train AI to detect COVID
Research using machine learning on images of everyday items is improving the accuracy and speed of detecting respiratory diseases, reducing the need for specialist medical expertise.
Smart elastomers make robots more touchy-feely
A new generation of robotic tools are beginning to be realized thanks to a combination of strong 'muscles' and sensitive 'nerves' created from smart polymeric materials.
AR apps are designed mainly for youngsters
A study exploring the use of augmented reality to support older adults finds the user interface is sometimes confusing for those aged 50+.
3D printed liver to help surgeons prepare for operations
New research could help surgeons perform liver resections with greater accuracy and deliver improved patient outcomes.
AI app could help diagnose HIV more accurately
New technology could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries.
Dementia: Chatbots for patients and caregivers need more work
Chatbots hold promise for dementia patient or caregiver support, but are still in their infancy, new research finds. None of the interactive digital apps tested performed well on all testing criteria.
AI predicts how patients with viral infections will fare
Researchers used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
AI enhances efficacy of sleep disorder treatments
Based on 20,000 nights of sleep, researchers have developed an algorithm that can improve the diagnosis, treatment and overall understanding of sleep disorders.
Smart textiles: a programmable digital fiber
In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.
COVID-19: AIs shortcuts lead to misdiagnosis
Researchers discovered that AI models have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
Reverse 3D printing to make tiny implants
Researchers have developed a 3D printing technique that allows them to create incredibly small and complex biomedical implants.
Smart device-based electronic platform monitor mental health
To help patients manage their mental wellness between appointments, researchers at Texas A&M University have developed a smart device-based electronic platform that can continuously monitor the state of hyperarousal, one of the signs of psychiatric distress.
AI laboratory provides precision treatment for kids with autism
The University of Texas at San Antonio has established a wearables and AI laboratory to provide precision treatment plans to improve learning among those diagnosed with autism spectrum disorder (ASD).
Difference between numerical age and biological age affects health
A new study from the Mayo Clinic found that differences between a person's age in years and his or her biological age, as predicted by an artificial intelligence (AI)-enabled EKG, can provide measurable insights into health and longevity.
Deep learning predicts lung cancer risk
An artificial intelligence (AI) program accurately predicts the risk that lung nodules detected on screening CT will become cancerous, according to a new study.
Image fusion method uses AI to improve outcomes
Researchers have developed a new "multi-modal" image fusion method based on supervised deep learning that enhances image clarity, reduces redundant image features and supports batch processing.
Using digital twins to help treat multiple sclerosis
Scientists in Dresden are expanding their digital health expertise in multiple sclerosis (MS) therapy and research with an ambitious scientific project - creating a "digital twin“ from data.
Researchers use virtual reality to reach youth
Researchers found that patients participating in VR sessions experienced reduced levels of anxiety and depression.
Augmented reality helps to see, feel and understand
X-ray vision, context-sensitive guidance, coordinator, training assistant and more: augmented reality (AR) has hit the OR.
Integrating imaging with deep neural networks
Neural network framework may increase radiologist's confidence in assessing the type of lung cancer on CT scans, informing individualized treatment planning.
Wearable improves care after kidney transplantation
Scientists have found that a simple device can reduce swelling after kidney transplantation. Clinical trial shows shortened hospital stay for patients and reduced surgical site infections by almost 60 percent.
VR could help improve balance in older people
Researchers are investigating how virtual reality technology could help improve balance and prevent falls.
Are AI devices evaluated appropriately?
A study from Stanford University found limitations in the Food and Drug Administration’s approval process.
Designing better antibody drugs with machine learning
Artificial intelligence could help to optimise the development of antibody drugs. This leads to active substances with improved properties, also with regard to tolerability in the body.
Robotics: man and machine in the OR
There is an ongoing debate as to whether the extensive usage of robots in the short-term is realistic and sensible. Moreover, the benefits such systems offer for patient care are disputed.
First use of high-bandwidth wireless brain-computer interface
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
Fortnite and Zelda can up your surgical game
Video games offer students obvious respite from the stresses of studies and, now, a study has found they could benefit surgical skills training.
Augmented reality provides insights during liver surgery
Researchers are developing 3D technologies for surgeons. The aids for surgery planning are particularly advanced.
Kickballs, chicken and 3D models help prepare for fetal surgeries
By combining high-tech 3D printing technology with kickball and pieces of chicken breast, surgeons have devised an innovative way to “rehearse” complex minimally invasive fetal surgeries.
AI platform to assess blood vessel anomalies
Researchers have developed an AI platform that could one day be used in a system to assess vascular and eye diseases.
Smart system detects errors when medication is self-administered
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
A conductive hydrogel for medical applications
Researchers have developed a method to produce graphene-enhanced hydrogels with an excellent level of electrical conductivity.
Using AI to generate 3D holograms in real-time
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Virtual reality at your fingertips
Researchers have developed a wristband equipped with sensors to enable free-hand, intuitive working in VR that could be used in everyday applications.
AI can identify cancerous cells by their acidity
Using a special dye, cells are colored according to their pH, and a machine learning algorithm can detect changes in the color spectrum due to cancer.
COVID-19: AI models not yet suitable for clinical use
Researchers have found that out of the more than 300 COVID-19 machine learning models are not suitable for detecting or diagnosing COVID-19 from standard medical imaging.
Advanced tech enables simulated sinus surgery
The world’s first international online training session utilizing advanced 3D sinus models and a telemedicine system has taken place.
Smart speakers contactlessly monitors heart rhythms
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
3D printed models improve medical student training
Less expensive and more realistic 3D models of blood vessels may offer alternative to the commercial standard.
AI identifies precancerous colon polyps
A machine learning algorithm helps accurately differentiate benign and premalignant colorectal polyps on CT colonography scans.
AI identifies 'ugly ducklings' to catch skin cancer
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
OR without surgeon: science fiction or realistic scenario?
Dr Jan Stallkamp has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
More accurate measurements of wearables
Researchers are aiming to improve wearables for medical applications and to enable the portable minicomputers to make more accurate measurements.
Virtual reality helps to treat fear of heights
Researchers have developed a VR app to reduce fear of heights. Now, they have conducted a clinical trial to study its efficacy.
Designing medical deep learning systems
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
Device rapidly creates 3D images of skin
A portable 3D printed device produces high-resolution 3D images of human skin within 10 minutes. It could be used to assess the severity of skin conditions.
AI makes strides in search for COVID-19 treatments
A deep learning model that can predict how human genes and medicines will interact has identified at least 10 compounds that may hold promise as treatments for COVID-19.
'Liquid' machine learning system adapts to changing conditions
A machine learning system learns on the job. By continuously adapting to new data inputs, this “liquid network” could aid decision-making in medical diagnosis.
Diagnosing prostate cancer using biosensors and AI
Successful precision cancer diagnosis through an AI analysis of multiple factors of prostate cancer. Potential application of the precise diagnoses of other cancers by utilizing a urine test.
AI enhances predictions of COVID-19 outcomes
Researchers have used "federated learning" to examine electronic health records to better predict how COVID-19 patients will progress.
Are mini-microscopes and disposable robots conquering the labs of the future?
Professor Dr Peter Pott and his team turn to 3D printers to successfully realize his vision of “high end at low cost” medical devices.
Using light to revolutionize AI
Researchers have developed a new photonic processor that could revolutionize artificial intelligence.
Exoskeleton and brain-machine interface boost stroke rehab
Researchers have developed a system that combines a brain-computer interface and a robotic arm that responds to the actual intentions of treated patients.
Medical technology 2020 – a review
Covid-19 gave many of these predictions for 2020 an entirely new spin: while some of the hyped trends turned out to play only bit-parts others became box-office hits in the new normal.
Self-learning algorithms analyze imaging data
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
Brain injury: Exoskeleton training improves walking
Researchers have shown that gait training using robotic exoskeletons improved motor function in adolescents and young adults with acquired brain injury.
Smartwatch can detect early signs of illness
Researchers have developed a smartwatch app designed to alert users when their bodies show signs of fighting an infection, such as elevated heart rate.
COVID-19: AI platform finds best combination of available therapies
An AI platform derives an optimal combination of available therapies against SARS-CoV-2 - the optimal drug therapy was a combination of the drugs remdesivir, ritonavir, and lopinavir at specific doses.
7 mobile disinfection robots for medical environments
The following seven robotic systems are either currently being deployed or developed for the fight against the coronavirus.
Deep learning-based image segmentation
Scientists have presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.
Tackling ethics concerns regarding use of carebots
An analysis highlights the realistic pros and cons of apps and other technologies that use AI to benefit older adults, including those facing dementia and cognitive decline.
Opening the ‘black box’ of AI
AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.
Brain-controlled computers are becoming a reality, but major hurdles remain
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
Creating an accessible surgery simulator
Researchers are developing a simulator that could be used to train both surgeons who are in the early stages of their career and those who are more experienced.
Breath gas analysis detects cancer
Researchers are developing solutions designed to enable the analysis of breath gas to assist with the diagnosis of disease.
Lab-on-chip infection test for faster diagnostics
A tiny new silicon-based lab-on-chip test could pave the way for cheap handheld infectious disease testing.
AI quickly and accurately diagnoses eye diseases
Using machine learning, researchers have developed a new computational tool to screen patients with common but blinding retinal diseases, potentially speeding diagnoses and treatment.
AI accurately detects COVID-19 on chest x-rays
Researchers have developed a new AI platform that detects COVID-19 by analyzing X-ray images of the lungs.
Neural network learns when it should not be trusted
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
A pressure sensor at your fingertips
An ultrathin pressure sensor for the skin measures how fingers interact with objects to produce useful data for medical applications.
How AI can improve medical imaging
AI offers not only the possibility of better detection of a tumor, a skin lesion or some other indication but also can improve accuracy and efficiency for radiologists.
Diabetes: Computer vision app allows easier monitoring
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
Exoskeleton improves mobility in patients with spinal cord injury
Exoskeletal-assisted walking is safe, feasible, and effective in individuals disabled by spinal cord injury.
Medical training platform for unique learning experience
Why do people learn new skills at different speeds? A medical training aid is addressing this question by blending sensory technology with psychological insight.
Deep learning enables screening for eye disease
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Microneedle bandage detects malaria radpidly
Researchers at Rice University have developed a microneedle patch that can rapidly detect the presence of malaria in interstitial fluid.
Medical customers adopt Stratasys 3D Printer
Stratasys Ltd. announced it has successfully sold and installed the J750 Digital Anatomy 3D printer at healthcare institutions and medical service providers in major markets across the globe.
A portable arm rehabilitation robot
A new portable arm rehabilitation robot will help patients to carry out robot-aided therapy at home, allowing them to perform intensive exercises without visiting hospitals or clinics.
Brain-computer allows paralysed patients to text
Two ALS patients, implanted with a brain-computer interface via the jugular vein and without the need for open brain surgery, successfully controlled their personal computer through direct thought.
AI model detects Covid-19 infections through coughs
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
Machine learning algorithm detects early stages of Alzheimer's
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Wearable sensor helps ALS patients communicate
Researchers have designed a skin-like device that can measure small facial movements in patients who have lost the ability to speak.
Cerebral palsy: robotics trainer improves body control
Reseachers have developed robotic Trunk Support Trainer (TruST) that helps children with CP to sit more stably.
COVID-19 rapid test has successful lab results
Rapid detection of the SARS-CoV-2 virus, in about 30 seconds following the test, has had successful preliminary results.
Neural networks could help predict future self-harm
Researchers have created artificial intelligence algorithm that can automatically identify patients at high risk of intentional self-harm, based on the information in the clinical notes in the electronic health record.
Machine learning model helps drug discovery
Scientists have created a new method of applying machine learning concepts to the tandem mass spectrometry process to improve the flow of information in the development of new drugs.
5 ways AI is used against COVID-19
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
Deep learning platform accurately diagnoses dystonia
Researchers have developed a unique diagnostic tool that can detect dystonia from MRI scans, the first technology of its kind to provide an objective diagnosis of the disorder.
Machine learning takes on synthetic biology
Researchers have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
Device achieves unprecedented control of cell membrane voltage
Scientists have developed a bioelectronic system driven by a machine learning algorithm that can shift the membrane voltage in living cells and maintain it at a set point for 10 hours.
AI detects osteoarthritis years before it develops
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
Assessing mental illnesses through digital phenotyping
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
Diabetes: Painless paper patch test uses microneedles
Researchers have developed a microneedle patch for monitoring glucose levels using a paper sensor.
VR trains public to reverse opioid overdoses
Researchers developed a virtual reality immersive video aimed at training and motivating people to save lives from opioid overdoses.
Smart surgery - from technical fascination to clinical reality
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Monitoring sleep positions for a healthy rest
Researchers have developed a wireless, private way to monitor a person’s sleep postures using reflected radio signals from a small device mounted on a bedroom wall.
AI-controlled sensors could save lives in 'smart' hospitals
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
3D-printed parts could make ventilators safer
Researchers at Duke University have engineered a workaround to make ventilators safer and more efficient when splitting them between patients.
IoT results-oriented exercise system for social distancing
An IoT system that allows geneticists, nutritionists, clinicians and exercise physiologists to work together remotely encourages middle-aged and elderly people to train using Interval Walking Training.
Augmented Reality in the OR: matching man and machine
One of the crucial future technologies in surgery is Augmented Reality. Most experts agree that AR will increase safety and efficiency, improve surgical training and decrease costs.
Wearable could help surgeons assess blood loss
Scientists have developed a wearable device that can accurately assess blood loss by measuring seismic vibrations in the chest cavity.
Origami-inspired miniature manipulator for microsurgery
Researchers have developed a surgical robot that improves precision and control of teleoperated surgical procedures.
Surgical data science: data-driven assistance in the OR
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
COVID-19: Deep learning-based cough recognition
Researchers announced that their coughing detection camera recognizes where coughing happens, visualizing the locations.
avateramedical acquires robotics specialist FORWARDttc
avateramedical GmbH announced the acquisition of FORWARDttc GmbH, an automation technology company with special focus on robotics hard- and software.
Using 3D printing to study common heart defect
Researchers have combined machine learning, 3D printing and high performance computing simulations to accurately model blood flow in the aorta.
Federated learning allows hospitals to share data privately
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
AI finds patterns of mutations in tumour images
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Progress in capture of biosignals for EEG
New electrode technology and AI analytics solve challenges in neurological emergency, acute and intensive care medicine.
Genetic diseases research with quantum computing
Scientists are harnessing the mind-bending potential of quantum computers to help us understand genetic diseases – even before quantum computers are a thing.
Using holograms during cardiac procedure
Physicians have shown that using a holographic display improves physician accuracy when performing a procedure to treat irregular heartbeat.
Robin, the AI social robot
In response to the COVID-19 pandemic, UCLA Mattel Children’s Hospital launches an innovative project to support the emotional needs of children.
Robots could help injured workers recover
Training robots to guide injured workers through simulated tasks could make return-to-work evaluations and treatment programs more effective and accessible, according to researchers at the University of Alberta.
Neural network can determine lung cancer severity
Researchers have created an artificial neural network that analyzes lung CT scans to provide information about lung cancer severity that can guide treatment options.
Brainlab acquires surgery game start up Level Ex
Brainlab announced the acquisition of Level Ex, a company that creates medical video games designed to advance the clinical skills of physicians and surgeons.
Biohybrid model recreates respiration mechanics
Using soft robotic materials, scientists created a high-fidelity respiratory simulator that represents the interplay between between the diaphragm, abdomen and lungs.
Machine learning enhances brain tumour diagnosis
A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
Lung cancer: AI could predict risk of recurrence
Computer scientists working with pathologists have trained an AI tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment.
Nanotechnology provides rapid visual detection of COVID-19
Scientists have developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes.
Deep learning accurately stains digital biopsy slides
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
AI used to identify different types of brain injuries
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
3D printing patient-specific implants
Researchers have developed a personalized therapeutic concept that significantly reduces the chances of a patient suffering post-operative complications.
Ultrasound for space offers remote diagnosis to patients on Earth
Radiologists are investigating people's medical conditions and pregnancies remotely thanks to an ESA-backed robotic technology.
Wearable tracks COVID-19 key symptoms
Researchers have developed a wearable device to catch early signs and symptoms associated with COVID-19 and to monitor patients as the illness progresses.
AI distinguishes pneumonia from COVID-19
Researchers have developed a predictive artificial intelligence model that can tell the difference between healthy patients, those who are ill with pneumonia and those who have COVID-19, from chest X-rays.
Plug and Play: a ready-to-use bionic arm prosthesis implanted
Scientists have developed the world's first fully integrated bionic arm prosthesis that is ready to use – in keeping with the motto "Plug and Play".
Electrical stimulation improves robot-assistive surgery
Sending small electrical currents to the fingertips of someone operating a robotic arm can help surgeons during robot-assisted procedures.
AI model accurately classifies colorectal polyps
An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.
AI could serve as backup to radiologists' eyes
A study showed that an AI algorithm provides results comparable with lung function tests, which measure how forcefully a person can exhale.
Dentistry: AI helps localize the mandibular canals
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
In-ear sensors to help in fight against COVID-19
Scientists plan to use high-tech biometric sensors for 24-hour monitoring of COVID-19 patients in home isolation.
AI accelerates blood flow MRI
Researchers have presented a method that could greatly accelerate dynamic magnetic resonance imaging of blood flow.
Sensors could offer early detection of lung tumors
Researchers have developed a new approach to early diagnosis of lung cancer: a urine test that can detect the presence of proteins linked to the disease.
Deep learning system used for diagnosing skin diseases
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
A robotic COVID-19 testing lab
Scientists are creating from scratch a diagnostic lab with the capability to process more than 1,000 patient samples per day.
Portable AI device predicts outbreaks based on coughing
A portable surveillance device powered by machine learning can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses trends.
AI in healthcare – hype, hope and reality
Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.
NVIDIA Healthcare 2.0 – Developing and deploying AI in healthcare
“AI is the biggest technological breakthrough of our lifetime. It will boost the entire healthcare ecosystem and will eventually re-invent the way we deliver medicine entirely.”
Using AI to assess ulcerative colitis
Researchers develop an AI system that effectively evaluates endoscopic mucosal findings from patients with ulcerative colitis without the need for biopsy collection.
Video-game therapy may help treat ADHD
A trial suggests that a digital intervention for paediatric ADHD might help to improve inattention with minimal adverse effects.
Deep learning yields new antibiotic
An AI model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
A pill-sized heating device for diagnostic testing
Researchers have developed a ‘heater’ — about the size of a pill tablet — that regulates the temperature of biological samples through the different stages of diagnostic testing.
Smart software detects early-stage esophageal cancer
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
A 'multitasking' AI tool quickly extracts cancer data
To better leverage cancer data for research, scientists are developing an artificial intelligence-based natural language processing tool to improve information extraction from textual pathology reports.
VR supports the treatment of children with brain injury
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
Using AI to detect and grade prostate cancer
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
AI and laser-based imaging system identify brain tumors
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Robotic device assists those with spinal cord injury
Engineers have developed a robotic device that can be used to assist and train people with SCIs to sit more stably by improving their trunk control.
AI tracks down acute myeloid leukemia
Artificial intelligence can detect one of the most common forms of blood cancer—acute myeloid leukemia (AML)—with high reliability.
Neural network for elderly care could save millions
A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.
Deep learning identifies molecular patterns of cancer
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Wearable sweat sensor detects Gout-causing compounds
Researchers describe a mass-producible wearable sensor that can monitor levels of metabolites and nutrients in a person's blood by analyzing their sweat.
AI predicts effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
Ensembling improves machine learning model performance
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
VR and MR inferior to traditional learning in anatomy education?
A new study has shown that traditional ways of learning anatomy remain superior to those that rely on digital media.
Retinal screening in diabetes: diagnosis by robot
Physicians have been using automatic digital retinal screening, without assistance from an ophthalmologist, to detect diabetic retinal disease.
Virtual reality has potential for CPR training
Cardiologists performed a research project during a large music festival called Lowlands, in the Netherlands in August 2019.
Video game to treat children with ADHD
Researchers have developed advanced brain-computer interface technology that harnesses machine learning to personalise brain-training for children with ADHD.
AI-driven blood cell classification supports leukemia diagnosis
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Neural networks support endovascular stroke therapy
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
Endoscopic prostate surgery performed on human-like phantom
Scientists have made a decisive contribution to improving complex surgical training by developing a very realistic prostate phantom.
Using AI to predict risk of thyroid cancer on ultrasound
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
Brain may not need body movements to learn virtual spaces
A new study enhances our understanding of how the brain learns in virtual reality.
Advanced AI boosts clinical analysis of eye images
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.
Virtual reality: Avatars against obesity
A collaborative project develops virtual reality methods to positively affect the body perception of obese patients.
‘Smart shirt’ proving itself on monitoring lung disease
A smart shirt that measures lung function by sensing movements in the chest has proven to be accurate when compared to traditional testing equipment.
Bioelectronic implant could prevent opioid deaths
Researchers are developing a device that can sense the effects of a potentially fatal level of ingested opioids and deliver a life-saving dose of naloxone.
Combination of AI and radiologists accurately identified breast cancer
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Machine learning improves diagnostics of head and neck cancers
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Augmented reality glasses as low vision aid
Researchers found that adapted augmented reality glasses can improve patients’ mobility by 50% and grasp performance by 70%.
Deep learning model detects diabetic eye diseases
Researchers have developed a deep learning system that may help detecting diabetic eye diseases, which could make doctors’ work easier and reduce healthcare cost.
Using AI in the fight against river blindness
Researchers want to develop a method in which artificial intelligence automatically evaluates tissue samples from patients under the microscope.
VR surgery simulators are key to assessment of trainees
Machine learning-guided virtual reality simulators can help neurosurgeons develop the skills they need before they step in the operating room.
From one brain scan, more information for the AI
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
A mind-controlled robotic arm without brain implants
Researchers show that by using a noninvasive brain-computer interface they could control a robotic arm that’s tracking a cursor on a computer screen.
Machine learning finds ‘sound’ words predict psychosis
A machine learning method discovered a clue in people’s language predictive of the emergence of psychosis — the frequent use of words associated with sound.
Augmented reality and 3D printing for surgery
Researchers are combining virtual reality, augmented reality and 3D printing in order to improve the planning and realization of surgeries.
3D printed lab tech lowers cost of medical test
A desire for a cheaper way to do common laboratory tests for medical diagnoses led researchers to develop a new lab tech that reduces cost and time.
Algorithm steers catheters to the right spot to treat atrial fibrillation
Researchers have demonstrated that their technique can stop the catheter at the right target and identify the source type with a 95.25 percent success rate.
Smartphone app can hear ear infections in children
Researchers have created a new app that can detect fluid behind the eardrum by simply using a piece of paper and a smartphone’s microphone and speaker.
Blood and sweat take training app to the next level
Researchers have have developed a multifaceted measuring technology that is able to detect a number of conditions in the human body.
Robot therapists need rules
Numerous initiatives using robots for improving mental health already exist. However, the use of embodied AI in psychiatry poses ethical questions.
3D printed baby dummy for resuscitation training
A researcher developed a 3D printed baby dummy, based on an MRI scan of a real newborn baby, which could improve the training of the reanimation procedure.
AI can detect depression in a child’s speech
Researchers have used artificial intelligence to detect hidden depression in young children, a condition that can lead to increased risk of substance abuse and suicide later in life if left untreated.
Smartphone AI detects diabetic retinopathy
Pairing a smartphone to capture retinal images with an AI may offer a solution for better screening for diabetic retinopathy.
Mirror therapy VR game improves patient experience
Researchers have developed a virtual reality therapy game (iVRT) which could provide relief for patients suffering from chronic pain and mobility issues.
AI optimizes embryo selection for IVF
An AI approach can identify with high accuracy whether a 5-day-old, in vitro fertilized human embryo has a high potential to progress to a successful pregnancy.
VR offers benefits for Parkinson’s disease patients
Training in virtual environment helps patients with Parkinson's disease improve balance and avoid obstacles while walking.
3D printed feet steps up treatment for diabetics
A gooey mixture is being added to newly printed 3D feet which are designed to mimic infected and non-infected diabetic foot wounds.
Doctors use VR to train for diabetes-related emergencies
Doctors can now practice in VR medical emergencies, to improve care for patients with diabetes in the real world.
Eye surgery: Gaining insights through AR
Eye surgery is a delicate and precise process. A new simulation platform based on augmented reality allows surgeons to practice surgical procedures on a virtual model in three dimensions.
The impact of 3D printing in radiology
At ECR 2019, speakers emphasized that 3D printing enables an innovative way to display imaging, and it allows radiologists to offer clinical value to their medical and surgical colleagues.
Seeing through a robot’s eyes helps those with motor impairments
An interface system that uses augmented reality technology could help individuals with profound motor impairments operate a humanoid robot to feed themselves.
Fundamental Surgery integrates HaptX Glove into platform
With the integration of HaptX Gloves, FundamentalVR demonstrates the ability to integrate its Surgical Haptic Intelligence Engine with third-party devices.
This smartphone app simultaneously treats and tracks autism
Researchers are working on a smartphone app that could help diagnose autism in minutes – and provide ongoing therapy as well, all with fewer visits to specialized clinics.
Promising applications of mixed realities in medicine
At ECR 2019, researchers talked about the practical applications of mixed realities in medical education and training as well as preprocedural planning and visualization during a surgery.
Are humans too slow for digitalisation?
Today, drones are happily regarded as the pinnacle of digitalisation in healthcare. However, for Dr Dominik Pförringer, “Drones are not even in the top 100 of my wish list for digital solutions."
About the end of medicine, as we know it
Our health system today can no longer be sustained in its existing form. It has become too expensive and too ineffective.
RFID: Tiny digital ‘tags’ improve eye care
Radio-frequency identification (or RFID), the popular type of data collection, is helping Kellogg providers make visits more meaningful for patients and reduce wait times.
“Taiwan excellence” at MEDICA 2018
At MEDICA 2018, various taiwanese companies showcased a whole range of innovative medical technology such as virtual 3D anatomical models to robotic rehabilitation helpers and smart nappies.
AI system learns to diagnose intracranial hemorrhage
Researchers have developed a system using artificial intelligence to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets.
EYEMATE sensor is a sentinel to watch over ocular pressure
The sensor system implant provides actionable information to optimize the therapy for patients afflicted with glaucoma.