Quantum sensors for next-gen brain-computer interfaces
Recently, Professor Surjo R. Soekadar outlined current and upcoming applications of brain-computer interfaces.
Search for: deep learning
AI predicts behavior
An artificial neural network designed by an international team involving UCL can translate raw data from brain activity, paving the way for new discoveries and a closer integration between technology and the brain.
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.
Deep learning tool to revolutionize microscopy
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
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.
UV light disinfection could prevent virus spread
A device capable of automatically disinfecting common surfaces could be a vital tool in virus and disease mitigation during and after the COVID-19 pandemic.
Using machine learning to detect COVID-19 in X-rays
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
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.
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.
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.
AI networks make life easier for hearing aid users
Researchers have developed a groundbreaking AI algorithm that can enable hearing aid users to take a more active part in conversations in noisy environments.
'Deepfaking the mind' to improve brain-computer interfaces
Researchers are using generative adversarial networks to improve brain-computer interfaces for people with disabilities.
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.
Robotic hands manipulate objects with ease
A system can reorient over two thousand different objects, with the robotic hand facing both upwards and downwards.
Giving robots social skills
A machine learning system helps robots understand and perform certain social interactions
AI picks up mutations in colorectal cancers
A deep learning algorithm picks up molecular pathways and the development of key mutations more accurately than existing methods.
An AI that ‘thinks’ like humans
Creating human-like AI is about more than mimicking human behaviour – technology must also be able to process information, or ‘think’, if it is to be fully relied upon.
Researchers psychoanalyse artificial intelligence
We can run tests and experiments, but we cannot always predict and understand why AI does what it does.
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.
AI identifies drug combinations to fight COVID-19
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
Do Alexa and Siri make kids bossier?
Researchers studied whether hanging out with conversational agents, such as Alexa or Siri, could affect the way children communicate with their fellow humans.
AI screens and diagnoses glaucoma
Scientists have developed a novel method that uses artificial intelligence to screen for glaucoma.
AI and simulation tools to fight COVID-19
Argonne, industry and academia collaborate to bring innovative AI and simulation tools to the COVID-19 battlefront.
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.
AI finds out what makes human tick
Scientists have developed a machine learning technology to understand how gene expression regulates an organism's circadian clock.
AI assesses metastatic potential in skin cancers
Using a deep learning algorithm, researchers have developed a way to accurately predict which skin cancers are highly metastatic.
'Origami' testing app tackles spread of malaria
A new approach to tackling the spread of malaria in sub-Saharan Africa, which combines affordable, easy-to-administer blood tests with machine learning and unbreakable encryption, has generated encouraging early results in Uganda.
Deep learning-based holographic point-of-care sensor
Researchers have developed a rapid and cost-effective particle agglutination based sensor that is powered by holographic imaging and deep learning
Disinfection robot lends hospitals a big hand
Researchers have developed a smart functional robot that realized simultaneous disinfection of both air and object surface.
Bipedal robot learns to run
Cassie the robot has made history by traversing 5 kilometers, completing the route in just over 53 minutes.
Deep learning helps visualize X-ray data in 3D
Scientists have leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
Artificial intelligence rapidly computes protein structures
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
Drone helps elderly escape from burning nursing homes
Students at TU Eindhoven developed the world's first interactive drone that can transmit emotions.
Big data opens door to big possibilities in healthcare
How University of Alberta health scientists are helping fulfil the promise of big data to revolutionize everything from prevention to diagnosis to treatment.
Using AI to predict 3D printing processes
Engineers use Frontera supercomputer to develop physics-informed neural networks for additive manufacturing.
AI improves speech recognition in hearing aid
In noisy environments, it is difficult for hearing aid or hearing implant users to understand their conversational partner. Artificial intelligence could solve this problem.
Deep learning predicts viral infections
Using fluoresence images from live cells, researchers have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses.
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.
Cloud computing expands brain sciences
A neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
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.
A robot scientist is ready for drug discovery
The robot scientist Eve has been assembled and is now operating at Chalmers University of Technology. Eve’s first mission is to identify and test drugs against Covid-19.
Neural networks speed up holographic imaging
Researchers have developed a holographic technique that can rapidly reconstruct microscopic images of samples with up to 50-fold acceleration compared to existing methods.
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.
When the robot smiles back
Researchers use AI to teach robots to make appropriate reactive human facial expressions, an ability that could build trust between humans and their robotic co-workers and care-givers.
Deep learning Assesses risk of cardiovascular disease
A team of engineers from Rensselaer Polytechnic Institute and clinicians from Massachusetts General Hospital developed a deep learning algorithm that can help assess a patient's risk of cardiovascular disease with the same low-dose computerized tomography (CT) scan used to screen for lung cancer.
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.
An AI-inspired theory of dreaming
The overfitted brain: Our dreams' weirdness might be why we have them, argues a researchers in new theory of dreaming.
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.
A new framework for machine speech translation
Researchers propose a deep learning-based model for mimicking and continuously modifying speaker voice identity during speech translation.
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.
Unique AI method will speed up drug development
Artificial Intelligence is now capable of generating novel, functionally active proteins.
Mixed reality gets machine learning upgrade
Scientists at Osaka University employed deep learning to improve mobile mixed reality generation.
Aged care monitoring and alert technology
Sleeptite has launched the world-first smart monitoring system, REMi, delivering real-time and non-invasive resident monitoring and alerts.
Algorithm designs soft robots that sense
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Building tough 3D nanomaterials with DNA
Engineers use DNA nanotechnology to create highly resilient synthetic nanoparticle-based materials that can be processed through conventional nanofabrication methods.
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.
AI method can detect precursors to cervical cancer
Using AI and mobile digital microscopy, researchers hope to create screening tools that can detect precursors to cervical cancer in women in resource-limited settings.
Machine learning speeds up drug discovery
Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.
Engineers build smart robotic exoskeletons
Researchers are developing exoskeletons and prosthetic legs capable of thinking and making control decisions on their own using AI technology.
Wristband predictings pediatric seizures
Researchers have evaluated whether data derived solely from these wristbands could accurately predict various types of seizures in pediatric patients.
Sensor for robots mimicks skin characteristics
Researchers have developed a new soft tactile sensor with skin-comparable characteristics.
AI, holographic microscopy beat scientists at analyzing immunotherapy
AI is helping researchers decipher images from a new holographic microscopy technique needed to investigate a key process in cancer immunotherapy “live” as it takes place.
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.
Designing medical deep learning systems
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
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.
mhealth: A smartphone-based COVID-19 test
Researchers are developing a COVID-19 testing method that uses a smartphone microscope to analyze saliva samples and deliver results in about 10 minutes.
How to train a robot - using AI and supercomputers
Computer scientists use TACC systems to generate synthetic objects for robot training.
Robot learns fast and safe navigation strategy
Researchers have proposed a new framework for training mobile robots to quickly navigate while maintaining low collision rates.
Biomedical research: deep learning outperforms machine learning
Deep-learning methods have the potential to offer substantially better results, generating superior representations for characterizing the human brain.
Smart apps help people with hearing loss
Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
Using AI to find new uses for existing medications
Scientists have developed a machine learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed.
AI-designed serotonin sensor may help study mental health
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
Teaching artificial intelligence to adapt
Researchers have used a computational model of brain activity to simulate this process more accurately than ever before.
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.
AR makes chemistry and biology accessible everywhere
A new website allows teachers and students to explore concepts from chemistry and biology by manipulating virtual molecules in augmented reality.
AI sees and hears COVID-19 in your lungs
Two deep learning algorithms that identify patterns of COVID-19 in lung images and breath sounds, may help in the fight against other respiratory diseases and the growing challenge of antibiotic resistance.
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.
Deep learning tool measures volume of cerebral ventricles
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
How humans use objects to solve problems
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
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.
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.
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.
Machine learning hunts for COVID-19 therapies
Researchers have created a deep learning model for drug developers targeting the SARS-CoV-2 main protease.
Machine learning algorithm detects early stages of Alzheimer's
An artificial intelligence-based detects early stages of Alzheimer’s through functional magnetic resonance imaging.
AI improves stroke and dementia diagnosis in brain scans
Machine learning has detected one of the commonest causes of dementia and stroke, in CT brain scans, more accurately than current methods.
Making new materials using AI
Researchers have revealed the mechanism behind making materials used in new memory devices by using artificial intelligence.
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.
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.
Using deep learning to diagnose autism
Researchers have applied these artificial intelligence techniques to autism diagnosis.
Memory abilities to make neural networks less 'forgetful'
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Patients set to benefit from AI guidelines
Patients could benefit from faster and more effective introduction of AI innovations to diagnose and treat disease—thanks to the first international standards for reporting of clinical trials for AI.
'Deep tech' can help coronavirus response – but there's resistance
The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
COVID-19: Deep learning-based cough recognition
Researchers announced that their coughing detection camera recognizes where coughing happens, visualizing the locations.
Machine learning model may perfect 3D nanoprinting
Scientists and collaborators are using machine learning to address two key barriers to industrialization of two-photon lithography.
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.
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.
3D hand-sensing wristband
Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.
AI finds COVID-19 needles in a coronavirus haystack
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Janggu makes deep learning a breeze
Researchers have developed a new tool that makes it easier to maximize the power of deep learning for studying genomics.
Towards an AI diagnosis like the doctor's
Researchers show how they can make an AI show how it's working, as well as let it diagnose more like a doctor, thus making AI-systems more relevant to clinical practice.
A deep learning e-skin decodes complex human motion
A deep learning powered single-strained electronic skin sensor can capture human motion from a distance.
Neural networks: artificial brains need sleep too
States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.
AI guides exoskeletons to match terrain
Researchers have developed new software that can be integrated with existing hardware to enable people using robotic prosthetics to walk in a safer, more natural manner on different types of terrain.
Deep learning accurately stains digital biopsy slides
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
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.
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.
Dentistry: AI helps localize the mandibular canals
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
AI may help brain cancer patients avoid biopsy
Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.
AI accelerates blood flow MRI
Researchers have presented a method that could greatly accelerate dynamic magnetic resonance imaging of blood flow.
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.
AI outperform doctors: Experts express concerns
Many studies claiming that AI is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, warn researchers in The BMJ.
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.
Smart algorithm analyses whole brain vasculature
Scientists have developed a technique for visualising the structures of all the brain's blood vessels including any pathological changes.
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.
AI challenge aims to improve mammography accuracy
AI techniques, used in combination with the evaluation of expert radiologists, improve the accuracy in detecting cancer using mammograms.
Fighting hand tremors with AI and robots
Researchers have tapped AI techniques to build an algorithmic model that will make the robots more accurate, faster, and safer when battling hand tremors.
AI may spot newborns at risk of blinding disease
An AI device may help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP).
Deep learning yields new antibiotic
An AI model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
Transparent human organs allow 3D maps at the cellular level
For the first time, researchers managed to make intact human organs transparent. Using microscopic imaging they could revealed underlying complex structures of the see-through organs at the cellular level.
AI finds disease-related genes
An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes.
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.
Colon cancer: AI-based marker can improve quality of treatment
Usind deep learning and digital scanning of conventional hematoxylin and eosin-stained tumor tissue sections, researchers have developed a clinically useful prognostic marker.
Deep learning model accurately identifies sleep stages
A deep learning model can identify sleep stages as accurately as an experienced physician.
Deep learning, 3D tech create better drugs
Researchers have designed a novel approach to use deep learning to better understand how proteins interact in the body.
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.
AI identifies features associated with cancer recurrence
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
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 boosts MRI detection of ADHD
Deep learning can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD).
AI detects even the smallest metastases
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
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.
Deep learning assists in detecting malignant lung cancers
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
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.
Microscopy: AI converts 2D images into 3D
Researchers have devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting.
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.
AI system tracks tremors in Parkinson’s patients
Researchers have developed machine learning algorithms that, combined with wearable sensors, can continuously track tremor severity in Parkinson's patients.
Needle-like sensor helps treat illnesses
A tiny, needle-like sensor that could potentially play a significant role in treating diseases such as depression, chronic pain, Parkinson’s and epilepsy.
AI rivals radiologists at detecting brain hemorrhages
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
Wearable brain-machine interface could control a wheelchair
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
AI to sharpen focus of eye testing
Researchers have applied deep learning techniques to develop a more accurate method for analysing images of the back of the eye.
‘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.
Mental health game changer
Using a simple computer game and AI techniques, researchers were able to identify behavioural patterns in subjects with depression and bipolar disorder.
AI identified decision-relevant patterns in EEG of coma patients
A research team has succeeded in identifying specific patterns in Electro-Encephalogram (EEG) analyses that the deep learning network uses for making prognosis decisions.
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.
A wearable and stretchable health monitor
A wearable monitor built with stretchable electronics could allow long-term health monitoring of adults, babies and small children without concern for skin injury or allergic reactions.
AI may help spot autism early
A machine learning algorithm can spot abnormalities in pupil dilation that are predictive of autism spectrum disorder in mouse models.
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: superior results for low-dose CT
Machine learning has the potential to vastly advance medical imaging, particularly CT scanning, by reducing radiation exposure and improving image quality.
AI detects rare diseases
With artificial intelligence to a diagnosis of rare hereditary diseases: The neural network combines data from portrait images with gene and patient data.
Cancer: AI identifyies patients for immunotherapy
Stomach and colorectal cancer: Identifying patients at an early stage who are suitable for artificial intelligence immunotherapy.
AI detects a new class of mutations behind autism
Using artificial intelligence, researchers have decoded the functional impact of genome mutations in people with autism spectrum disorder.
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.
How AI is already helping physicians save lives
With RAPID AI, the physicians now can get find parts of the brain that are not currently getting enough blood flow within minutes.
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.
AI singles out neurons faster than a human can
The deep learning algorithm maps active neurons as accurately as humans in a fraction of the time.
Hitachi and DFKI develop AI for sensor suits
AI technology for quantifying physical load and providing effective feedbacks using sensor suit devices.
Deep learning system automatically detects diseases
Patients could soon get faster and more accurate diagnoses with new software that can automatically detect signs of diabetes, heart disease and cancer from medical images.
AI classifies lung cancer slides at pathologist level
Researchers have utilized machine learning capabilities to assist with the challenging task of grading tumor patterns and subtypes of lung adenocarcinoma.
AI-driven platform “HRMAn” never sleeps
Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist.
Wearable robot enables disabled person to grasp objects
Scientists have developed a soft wearable hand robot that can aid the hand-disabled by using machine learning algorithm and sensory hardware.
AI detects the presence of viruses
UCLA researchers have developed a rapid and automated biosensing method based on holography coupled with deep learning.
Could an AI predict a healthy old age?
Researchers analyze skin cells from mre than 100 people of different ages to find molecular signatures that change as people get older.
“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.
Deep learning takes fluorescence microscopy into super resolution
UCLA-led team produces images on a laptop that match the quality of those from high-end equipment.
SubtlePET AI-powered PET increases scans efficiency
SubtlePET’s AI-powered technology allows hospitals and imaging centers to enhance images from faster scans leading to an improved patient experience during imaging procedures.
From TechGiants to HealthTechGiants?
Alphabet, Amazon, Apple and Microsoft are all building technologies that have the potential to transform the delivery of care. Here are some examples of BigTech's road into healthcare.
AI may help reduce gadolinium dose in MRI
Researchers are using artificial intelligence to reduce the dose of a contrast agent that may be left behind in the body after MRI exams, according to a study presented at RSNA.
Humanising wearable health technologies
Designer Leah Heiss considers her work as creating “emotional technologies”, i.e. wearable devices based on human-centred design principles. For her, empathy is everything!
Neurotechnology allows chronic paraplegia to walk again
Three patients with chronic paraplegia were able to walk over ground thanks to precise electrical stimulation of their spinal cords via a wireless implant.
Interactive robot ‘Pharos’ helps the elderly exercise
Researchers are working on an interactive robot called Pharos that will help the elderly with their daily household chores.
AI used to detect fetal heart problems
Researchers have developed a novel system that can automatically detect abnormalities in fetal hearts in real-time using artificial intelligence (AI).
AI decodes conversations in brain’s motor cortex
Engineers use deep learning to decode the conversation between brain and arm, by analyzing electrical patterns in the motor control areas of the brain.
Affordable wearable AI heart monitor
A Cambridge start-up has developed a low-cost next-generation wearable heart and cardiovascular function monitor which uses AI to diagnose heart rhythm and respiratory problems in real time.
Parkinson’s: Sensors track dopamine in the brain
MIT neuroscientists have devised a way to measure dopamine in the brain. Tiny probes could be useful for monitoring patients with Parkinson’s and other diseases.
“Hive mind” outperforms a single doctor or AI
A "Hive Mind" of doctors, moderated by AI algorithms, makes more accurate diagnoses than the doctors or machine learning alone, according to a new study from Stanford and Unanimous AI.
AI helps to identify rare conditions using x-rays
Researchers from the University of Toronto use machine learning to create computer generated X-rays that augment AI training sets, which could improve the speed and accuracy of medical diagnostics.
Role of artificial intelligence in diagnostics increases
The advent of electronic medical records with large image databases, along with advances in AI with deep learning, is offering medical professionals new opportunities to improve image analysis and disease diagnostics.
Personalized deep learning equips robots for autism therapy
Machine learning network offers personalized estimates of children’s behavior.
Stethee – an AI powered wireless stethoscope
The system can identify patterns while monitoring thе prоgress of indivіdual pаtients’ heаlth аnd hеlp to uncоver nеw trеnds in thе fіght agаinst heаrt and lung diseаse.