
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.
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.
Researchers have developed a new artificial intelligence tool that is able to automatically measure the amount of fat around the heart from MRI scan images.
Engineers have improved how swarms of robots work together. The research could help to use swarms of robots to diagnose problems inside the human body or tackle forest fires.
Intuition Robotics announced a significant expansion of ElliQ, their AI-driven companion robot, to enable the extension of primary care teams' presence into older adults' homes.
This overview introduces smart insulin delivery systems and more innovations that help patients and doctors guide decision-making in diabetes care.
Cassie the robot has made history by traversing 5 kilometers, completing the route in just over 53 minutes.
A new training technology will improve patient safety during future procedures: a new 4D simulator enables the planning, testing and optimization of the procedure.
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.
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.
The University of Surrey has unveiled a device with unique functionality that could signal the dawn of a new design philosophy for electronics, including next-generation wearables and eco-disposable sensors.
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.
Artificial intelligence may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart.
Researchers are using generative adversarial networks to improve brain-computer interfaces for people with disabilities.
When chatbots are confronted with dialog that includes idioms or similes, their performance drops to between 10 and 20 percent.
Researchers are developing exoskeletons and prosthetic legs capable of thinking and making control decisions on their own using AI technology.
Virtual doppelgangers could one day revolutionize medicine: Researchers are developing a digital twin, which should facilitate the development of personalized therapies.
Google set it sigths to transform the healthcare industry through the use of cloud technologies and machine learning.
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.
3D printing and machine learning unite in new research to improve cochlear implants for users.
Scientists develop a software that can be used in combination with MRI data for research and diagnosis.
Researchers are developing new techniques for improving 3D displays for virtual and augmented reality technologies.
Ubotica has developed a deep learning-based solution for detecting the presence of diabetic retinopathy indicators in retinal images.
A system can reorient over two thousand different objects, with the robotic hand facing both upwards and downwards.
Carnegie Mellon University and Meta AI (formerly Facebook AI) want to increase the sense of touch in robotics, wearables, smart clothing and AI.
A machine learning system helps robots understand and perform certain social interactions
Purdue University engineers and physIQ have developed a viral detection algorithm for smartwatches.
Wearables are becoming a trend in respiratory care and many products are being developed to monitor patients remotely. But how much can these tools really help clinicians?
Researchers are developing an algorithm that flags tweets that spread bogus information about vaccines.
Electronic skins will play a significant role in monitoring, personalized medicine, prosthetics, and robotics.
AI model called EVE shows remarkable capacity to interpret the meaning of gene variants in humans as benign or disease-causing.
Advances in physical reservoir computing could contribute to creating artificial intelligence machines that think like us.
When asked to classify odors, artificial neural networks adopt a structure that closely resembles that of the brain’s olfactory circuitry.
A new machine learning system costs less, generates less waste, and can be more innovative than manual discovery methods.
An AI-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy.
The cane incorporaties sensing and way-finding approaches from robotics and self-driving vehicles.
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.
Data privacy and security concerns hamper large-scale studies. Researchers have developed a potential solution.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
AI-based solution FAITH is designed to monitor the mental health status of people who have undergone cancer treatment.
E-mental health services could provide a response to these challenges and offer effective ways for prevention, diagnosis, treatment, and aftercare.
The benefits people could reap from exoskeletons rely heavily on having time to train with the device.
To detect the symptoms that herald the development of psychotic illnesses, scientists have applied longitudinal network analysis to children.
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
A new sensor material suitable for developing a rehabilitation glove.
We can run tests and experiments, but we cannot always predict and understand why AI does what it does.
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
Data scientists have used deep learning to identify the right synergistic drug combinations for the rapidly spreading SARS-CoV-2.
Researchers at the University of Bonn show how artificial intelligence improves the evaluation of blood analysis data.
Researchers have developed a range of artificial organ phantoms to serve as training platforms for surgeons.
Researchers have developed a method to integrate sensing capabilities into 3D printable structures comprised of repetitive cells.
Researchers mimic the animal kingdom’s most basic signs of intelligence in quantum material.
Technology will play an increasingly social and even emotional role in our lives. Virtual conversations lead to more self-compassion.
A smart shoe with inbuilt sensors could improve the quality of life of older people through the early detection of dementia and diabetic ulcers.
The MasSpec Pen has shown to accurately differentiate healthy and cancerous tissue from banked pancreas samples during surgery.
A consortium aims to develop a platform that will serve as the basis for novel services and test the use of new artificial intelligence tools.
Scientists have developed a novel method that uses artificial intelligence to screen for glaucoma.
Using artificial intelligence, researchers have developed a device for the early detection of autism spectrum disorder in children.
An electronic “nose” is capable of detecting with 86% accuracy when a lung transplant is beginning to fail.
Graphene represents incredible opportunities for advancement in many fields, including medical science.
Argonne, industry and academia collaborate to bring innovative AI and simulation tools to the COVID-19 battlefront.
Researchers examined people’s emotional response to cloned faces, which could soon become the norm in robotics.
Scientists have invented a smart device for personalized skin care modeled after the male diving beetle.
To enhance human-robot collaboration, researchers at Loughborough University have trained an AI to detect human intention.
A research program explores the use of mixed reality for enabling surgeons to identify brain tumors quickly and precisely.
An artificial intelligence blood testing technology was found to detect over 90% of lung cancers in samples from nearly 800 individuals with and without cancer.
A deep learning-based technique can be used to eliminate the need for special stains to be prepared by human histotechnologists.
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.
Researchers at the Pennsylvania State University plan to test next-generation artificial intelligence skills withinthe video game Minecraft.
Scientists have developed a machine learning technology to understand how gene expression regulates an organism's circadian clock.
Engineering researchers have developed automation software that aims to cut the time of developing radiation therapy plans down to mere hours.
A new material that combines the flexibility of human skin with improved conductivity and tolerance of temperatures as low as -93 C.
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.
Researchers have developed a smart functional robot that realized simultaneous disinfection of both air and object surface.
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.
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.
Artificial intelligence could be used to predict who is at risk of developing type 2 diabetes—information that could be used to improve the lives of millions of Canadians.
Stressed out? Need to talk? Turning to a chatbot for emotional support might help, research from Michigan State University shows.
Scientists have created a deep learning method, RoseTTAFold, to provide access to highly accurate protein structure prediction.
For the first time, researchers incorporated stretchable tactile sensors using liquid metal on the fingertips of a prosthetic hand.
Researchers have developed a new method to computationally optimize the shape and control of a robotic manipulator for a specific task.
Scientists have developed an algorithm to help a robot find efficient motion plans to ensure physical safety of its human counterpart.
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.
Artificial intelligence can recognise the biological activity of natural products in a targeted manner.
In noisy environments, it is difficult for hearing aid or hearing implant users to understand their conversational partner. Artificial intelligence could solve this problem.
Researchers aim to speed up developing drugs against brain diseases through cutting-edge technology. They are generating an innovative technology platform based on high-density microelectrode arrays and 3D networks of human neurons.
A neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
With LTech, the Lindera Software Development Kit, health tech company Lindera brings innovation and AI technology to the fitness industry.
Based on 20,000 nights of sleep, researchers have developed an algorithm that can improve the diagnosis, treatment and overall understanding of sleep disorders.
In a first, the digital fiber contains memory, temperature sensors, and a trained neural network program for inferring physical activity.
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.
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.
Nanoscientists have developed adaptive microelectronics that can move independently according to sensor data and align themselves specifically for activities - possible applications in biomedicine and bioneural interfacing.
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.
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 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.
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.
The overfitted brain: Our dreams' weirdness might be why we have them, argues a researchers in new theory of dreaming.
AI-driven healthcare has the potential to transform medical decision-making and treatment, but these algorithms must be thoroughly tested and continuously monitored to avoid unintended consequences to patients.
New creation could give machines human-like sense of touch to better judge human intentions and respond to changes in the environment
Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within four days.
Machine learning helps some of the best microscopes to see better, work faster, and process more data.
Nurses typically spend 18 to 40 percent of their time performing direct patient care tasks, oftentimes for many patients and with little time to spare. Personal care robots that brush your hair could provide substantial help and relief.
Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
Modern medicine needs better quality samples than traditional biopsy needles can provide, ultrasonically oscillating needles can improve treatment and reduce discomfort.
A study from Stanford University found limitations in the Food and Drug Administration’s approval process.
A neural network that mimics the biology of the brain can be loaded onto a microchip for faster and more efficient artificial intelligence.
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.
Human-machine interaction is complex. Researchers investigate a new form of interaction between humans and machines.
Researchers develop signals that could bring color vision and improved clarity to prosthesis for the blind.
Powerful algorithms used by Netflix, Amazon and Facebook can ‘predict’ the biological language of cancer and neurodegenerative diseases like Alzheimer's.
Scientists have developed AI-powered nanosensors that let researchers track various kinds of biological molecules without disturbing them.
Professor Dr Henning Windhagen is a great fan of semi-automatic systems in the OR that help with implants but leave the surgeon in the driver’s seat.
Researchers combined motion analysis that uses smartphone application and machine learning that uses an anomaly detection method, thereby developing a technique to easily screen for carpal tunnel syndrome.
Artificial Intelligence is now capable of generating novel, functionally active proteins.
Researchers have developed clothing that uses special fibers to sense a person's movement via touch.
Deep learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Researchers have developed an AI platform that could one day be used in a system to assess vascular and eye diseases.
Engineers have invented a cheap and easy way by transforming headphones into sensors that can be plugged into smartphones to monitor users heart rates.
Many patients use their inhalers and insulin pens wrong. Researchers have developed a system to reduce those numbers for some types of medications.
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.
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.
Researchers have developed a new tissue-section analysis system for diagnosing breast cancer based on artificial intelligence.
Researchers have developed system for smart speakers to monitor both regular and irregular heartbeats without physical contact.
Researchers have evaluated whether data derived solely from these wristbands could accurately predict various types of seizures in pediatric patients.
A researcher has demonstrated a technique that reduces the computing time for non-rigid point set registration relative to other approaches.
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Researchers have developed a new type of control system that may broaden robots’ range of tasks and allow safer interactions with people.
Researchers have developed a deep learning tool that offers new opportunities for analyzing images taken with microscopes.
The Fraunhofer Institutes project M³Infekt aims to develop a multi-modal, modular and mobile system of sensors for monitoring infectious diseases.
The Covid-19 pandemic highlights how remote healthcare robots currently being developed could be beneficial in the future.
Researchers at the Indian Institute of Science and SigTuple Technologies have developed a method to measure hemoglobin levels in small-volume blood samples.
Using AI and supercomputers, researchers have discovered reoccurring patterns and combinations of the four molecular building blocks A, C, G and T.
'Moralities of Intelligent Machines' is a project that investigates people’s attitudes towards moral choices made by artificial intelligence.
Researchers have developed advanced explainable AI in a technical tour de force to decipher regulatory instructions encoded in DNA.
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.
Researchers have analysed whether better design of deep learning studies can lead to the faster transformation of medical practices.
Researchers have constructed a 3D vision-guided artificial skin that enables tactile sensing with high performance, opening doors to innumerable applications in medicine.
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.
Researchers are developing a COVID-19 testing method that uses a smartphone microscope to analyze saliva samples and deliver results in about 10 minutes.
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.
Researchers have developed an automated way to design customized hardware, or “brains,” that speeds up a robot’s operation.
Using mathematical image processing, scientists have found a way to create digital twins from human hearts.
Computer scientists use TACC systems to generate synthetic objects for robot training.
Researchers have developed smartphone-based apps that solve the biggest problems for people with hearing loss: filtering out background noise and improving speech perception.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
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 new photonic processor that could revolutionize artificial intelligence.
Researchers are making key advances with a new type of optical sensor that more closely mimics the human eye’s ability to perceive changes in its visual field.
Researchers are creating a smart port to the brain that will use artificial intelligence to selectively stimulate tissue regrowth and seizure intervention.
Using theoretical calculations, scientists showed that it would not be possible to control a superintelligent AI.
Physicians who follow AI advice may be considered less liable for medical malpractice than is commonly thought, according to a new study of potential jury candidates in the U.S.
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.
The project relies on fusing reinforcement learning algorithms with turbulent flow simulations on the CSCS supercomputer "Piz Daint".
Although some artificial intelligence software tested reasonably well, only one met the performance of human screeners.
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.
High-five or thumbs-up? Researchers have developed a wearable sensor that detects which hand gesture you want to make.
Artificial neural networks open up new possibilities in interpreting the time-consuming imaging ´data.
NIH BRAIN Initiative scientists used machine learning to redesign a bacterial ‘Venus flytrap’ protein that can monitor brain serotonin levels in real time.
A new eye test may predict wet age-related macular degeneration, a leading cause of severe sight loss, three years before symptoms develop.
Researchers have used a computational model of brain activity to simulate this process more accurately than ever before.
Experts working at the intersection of robotics, machine learning, and physics-based simulation share how computer simulation could accelerate the development of "smart robots" which "might interact with humans"
“The Robot made me do it” - research has shown robots can encourage humans to take greater risks in a simulated gambling scenario than they would if there was nothing to influence their behaviours.
Is it possible to read a person's mind by analyzing the electric signals from the brain? The answer may be much more complex than most people think.
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.
Researchers have enabled a quadriplegic man to control a pair of prosthetic arms with his mind.
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.
Robots may have some of these soft skills thought to be vital for successful leadership as they enable leaders to motivate, unite and inspire their employees.
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.
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.
AI is growing ever more powerful and entering people’s daily lives, yet often we don’t know what goes on inside these systems.
The Shadow Robot Dexterous Hand is a robot hand, with size, shape and movement capabilities similar to those of a human hand.
Researchers have developed an AI tool that can measure the volume of cerebral ventricles on MRIs in children within about 25 minutes.
A material that mimics human skin in strength, stretchability and sensitivity could be used to collect biological data in real time.
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
Researchers have developed a way for deep learning neural networks to rapidly estimate confidence levels in their output.
A key symptom of COVID-19 – oxygen saturation – is now being estimated remotely from a camera, thanks to research from University of South Australia (UniSA).
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.
Machine learning can be used to fill a significant gap in Canadian public health data related to ethnicity and Aboriginal status, according to research by a University of Alberta research epidemiologist.
Researchers created a novel deep learning method that makes automated screenings for eye diseases such as diabetic retinopathy more efficient.
Designers who use ethics to shape better companion robots will end up making better humans, too, say UNSW researchers.
Scientists develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores.
Engineers have developed a next-generation circuit that allows for smaller, faster and more energy-efficient devices – which would have major benefits for AI systems.
Researchers have developed an AI-powered forecasting tool for predicting influenza outbreaks.
A novel e-skin, called TRACE, performs five times better than conventional soft materials. It is suitable for measuring blood flow for pulse diagnosis and helping robots to 'feel' the texture of surfaces.
Researchers have found that people who are asymptomatic for Covid-19 may differ from healthy individuals in the way that they cough.
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 revealed the mechanism behind making materials used in new memory devices by using artificial intelligence.
Using a brain-inspired approach, scientists have developed a way for robots to have the AI to recognise pain and to self-repair when damaged.
Researchers have developed a robotic exoskeleton that improves the lives of people with limited or no ability to move due to neurological and/or physiological disorders.
Find out more about how scientists and physician are using AI to make contributions in the fight against the coronavirus.
AI has shown early success in improving survival and outcomes in traffic accident victims transported by ambulance and in predicting survival after liver transplantation.
For the first time doctors have shown that measuring changes in 24-hour heart rate can reliably indicate whether or not someone is depressed.
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.
The development of new medical technologies based on cutting-edge discoveries has accelerated during the coronavirus pandemic.
Researchers have developed a new tool that adapts machine learning algorithms to the needs of synthetic biology to guide development systematically.
Researchers have applied these artificial intelligence techniques to autism diagnosis.
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals.
A dose of artificial intelligence can speed the development of 3D-printed bioscaffolds that help injuries heal.
The objective of the AIMRobot project is to pave the way for the next generation of robotic surgery systems capable of autonomy.
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
Researchers make the case that Artificial Intelligence tools have the potential to help researchers separate the wheat from the chaff.
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
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.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
Although true “cyborgs” — part human, part robotic beings — are science fiction, researchers are taking steps toward integrating electronics with the body.
Loss of strength and muscle wastage is currently an unavoidable part of getting older and has a significant impact on health and quality of life.
AI is playing a key role in the Covid-19 response, but it could also be exacerbating inequalities within our health systems – a critical concern that is dragging the technology’s limitations back into the spotlight.
Researchers have developed electronic artificial skin that reacts to pain just like real skin, opening the way to better prosthetics, smarter robotics and non-invasive alternatives to skin grafts.
Alena Buyx, Professor of Ethics in Medicine and Health Technologies at TUM, explains the embedded ethics approach.
Researchers have developed an AI technique that will protect medical devices from malicious operating instructions in a cyberattack.
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
Researchers used AI and genetic analyses to examine the structure of the inner surface of the heart using 25 000 MRI scans.
A study showed that patients receiving messages from a chatbot used fewer opioids after fracture surgery, and their overall pain level fell, too.
Scientists have developed an AI system that recognises hand gestures by combining skin-like electronics with computer vision.
Scientists and collaborators are using machine learning to address two key barriers to industrialization of two-photon lithography.
Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
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.
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
New electrode technology and AI analytics solve challenges in neurological emergency, acute and intensive care medicine.
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
Scientists have developed a sensory integrated artificial brain system that mimics biological neural networks, which can run on a power-efficient neuromorphic processor.
A consortium is developing a mobile neurosensing system suitable for everyday use that detects epileptic seizures automatically.
Researchers are developing a pill-sized capsule that uses AI-enabled sensing to diagnose gastrointestinal cancers and bleeding earlier.
In response to the COVID-19 pandemic, UCLA Mattel Children’s Hospital launches an innovative project to support the emotional needs of children.
A-Medicare announced launch plans for a new crypto coin as a planned element of early strategic growth integral to platform development through the remainder of 2020 and 2021.
Myriad Genetics, Inc. announced a new collaboration with OptraHEALTH to implement a cognitive chatbot named Gene to provide genetic and financial assistance information to prospective patients.
Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.
Computer science students designed an Android application, which helps to identify the signs of sleep apnea at home.
Researchers have developed a machine learning model that can predict chemotherapy-associated nephrotoxicity.
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.
AI is increasingly being used in medicine to support human expertise. A study has now illustrated the enormous potential of human/computer collaboration.
Computer scientists are aiming to speed up treatments and vaccines for COVID-19 — by making researchers’ jobs easier.
The Fraunhofer IBMT is developing the miniaturized ultrasound system for automated monitoring of bladder irrigation.
Researchers, using artificial intelligence and automated monitoring, have designed a method to help people with type 1 diabetes better manage their glucose levels.
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modelling is the aim of ModGraProDep.
States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.
A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
According to new research, the Oura smart ring is indeed suitable for detecting COVID-19 infection up to three days before symptoms appear.
Scientists have proposed the concept of a memristive neurohybrid chip to be used in compact biosensors and neuroprostheses.
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.
Researchers are collaborating with local partners to establish a network of portable, handheld ultrasound scanners that can soon accelerate COVID-19 diagnosis.
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
Establishing whether a patient is suffering from COVID-19 within a few minutes is possible using ultrasound machines that are enhanced with artificial intelligence.
Researchers have developed a personalized therapeutic concept that significantly reduces the chances of a patient suffering post-operative complications.
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an AI diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.
A necklace which detects abnormal heart rhythm will be showcased for the first time on EHRA Essentials 4 You, a scientific platform of the European Society of Cardiology (ESC).