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.
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Scientists have developed a more accurate navigation system that allows robots to better negotiate busy clinical environments in general and emergency departments more specifically.
Researchers at the Hamlyn Centre, Imperial College London, have introduced a novel tool for generating accurate endoscopic datasets.
Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.
Fraunhofer Institute is developing polyurethanes of a reproducible standard.
The wearable devices aim to reduce or redistribute spine loading associated with heavy manual work.
Scientists have developed an algorithm for rapid, computerized diagnosis of COVID-19, overcoming the limitations of reverse transcription polymerase chain reaction.
We present five upper body exoskeletons that might help restore natural hand or limb movements.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
A 3D printed microneedle vaccine patch delivers stronger immune response than a vaccine shot.
Egidijus Pelanis, a medical doctor at Oslo University Hospital, explains how extended realities is applied in the operating room.
Exoskeleton-assisted rehabilitation can be beneficial in treating stroke survivors.
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.
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.
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.
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.
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.
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.
The team of the Dynamic HIPS are working on a hip replacement simulator that will help future surgeons to practice the intervention.
New research could help surgeons perform liver resections with greater accuracy and deliver improved patient outcomes.
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.
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.
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.
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).
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.
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.
X-ray vision, context-sensitive guidance, coordinator, training assistant and more: augmented reality (AR) has hit the OR.
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.
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.
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
Researchers are developing 3D technologies for surgeons. The aids for surgery planning are particularly advanced.
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.
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
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.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
Less expensive and more realistic 3D models of blood vessels may offer alternative to the commercial standard.
Deep learning-based system enables dermatologist-level identification of suspicious skin lesions from smartphone photos, allowing better screening.
Dr Jan Stallkamp has a vision: robots that can treat patients more efficiently and more precisely than any human physician.
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.
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.
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.
Professor Dr Peter Pott and his team turn to 3D printers to successfully realize his vision of “high end at low cost” medical devices.
Researchers have developed a system that combines a brain-computer interface and a robotic arm that responds to the actual intentions of treated patients.
Researchers have shown that gait training using robotic exoskeletons improved motor function in adolescents and young adults with acquired brain injury.
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.
The following seven robotic systems are either currently being deployed or developed for the fight against the coronavirus.
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.
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.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
Exoskeletal-assisted walking is safe, feasible, and effective in individuals disabled by spinal cord injury.
Why do people learn new skills at different speeds? A medical training aid is addressing this question by blending sensory technology with psychological insight.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
Reseachers have developed robotic Trunk Support Trainer (TruST) that helps children with CP to sit more stably.
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.
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.
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.
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
Researchers have developed a microneedle patch for monitoring glucose levels using a paper sensor.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
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.
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.
Researchers have developed a surgical robot that improves precision and control of teleoperated surgical procedures.
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
avateramedical GmbH announced the acquisition of FORWARDttc GmbH, an automation technology company with special focus on robotics hard- and software.
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.
Scientists have developed an experimental diagnostic test for COVID-19 that can visually detect the presence of the virus in 10 minutes.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
Radiologists are investigating people's medical conditions and pregnancies remotely thanks to an ESA-backed robotic technology.
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".
Sending small electrical currents to the fingertips of someone operating a robotic arm can help surgeons during robot-assisted procedures.
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
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.
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.
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 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.”
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.
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
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.
Research confirms the efficiency of using computer-based programmes and virtual reality for improving children's attention and social skills.
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
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.
A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.
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.
Researchers describe a mass-producible wearable sensor that can monitor levels of metabolites and nutrients in a person's blood by analyzing their sweat.
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
A new study has shown that traditional ways of learning anatomy remain superior to those that rely on digital media.
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
Scientists have made a decisive contribution to improving complex surgical training by developing a very realistic prostate phantom.
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
A new study enhances our understanding of how the brain learns in virtual reality.
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.
A smart shirt that measures lung function by sensing movements in the chest has proven to be accurate when compared to traditional testing equipment.
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Researchers used artificial intelligence to develop a new classification method which identifies the primary origins of cancerous tissue based on chemical DNA changes.
Machine learning-guided virtual reality simulators can help neurosurgeons develop the skills they need before they step in the operating room.
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.
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.
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.
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.
Researchers have have developed a multifaceted measuring technology that is able to detect a number of conditions in the human body.
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.
Researchers have developed a virtual reality therapy game (iVRT) which could provide relief for patients suffering from chronic pain and mobility issues.
Training in virtual environment helps patients with Parkinson's disease improve balance and avoid obstacles while walking.
Doctors can now practice in VR medical emergencies, to improve care for patients with diabetes in the real world.
An interface system that uses augmented reality technology could help individuals with profound motor impairments operate a humanoid robot to feed themselves.
With the integration of HaptX Gloves, FundamentalVR demonstrates the ability to integrate its Surgical Haptic Intelligence Engine with third-party devices.
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.
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.
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.
The sensor system implant provides actionable information to optimize the therapy for patients afflicted with glaucoma.