
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.
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.
Surfaces contaminated with SARS-CoV-2 pose a grave threat to the safety of staff and patients. To minimize the risks for their staff, hospitals are utilizing disinfection robots to sanitize surfaces.
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Secure AI Labs is expanding access to encrypted health care data to advance AI-driven innovation in the field.
Texas engineers innovated a first-ever hybrid sensing approach that allows the device to possess properties of the two predominant types of sensors in use today.
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.
Researchers have developed a range of artificial organ phantoms to serve as training platforms for surgeons.
Using artificial intelligence, researchers have developed a device for the early detection of autism spectrum disorder in children.
Scientists have developed a bio-compatible implantable AI platform that classifies in real time healthy and pathological patterns in biological signals.
Newer concepts like edge computing are regularly discussed alongside the cloud within the healthcare sector, often as if they are each exclusive approaches to infrastructure. However, using one does not eradicate the ability to utilise the other.
Scientists at have shown that diagnostic nanoparticles could be used to monitor tumor recurrence after treatment or to perform routine cancer screenings.
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.
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.
A neuroscientist at University of Texas at Austin wants to democratize the field and support infrastructure.
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).
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.
Researchers have crafted an artificial eye with capabilities close to its human model.
Researchers develop signals that could bring color vision and improved clarity to prosthesis for the blind.
Researchers have developed an AI platform that could one day be used in a system to assess vascular and eye diseases.
A new class of quantum dots opens a range of practical applications, including medical imaging and diagnostics and quantum communication.
Researchers have developed a machine learning-based technique that speeds speeds up calculations of drug molecules' binding affinity to proteins.
Researchers are developing exoskeletons and prosthetic legs capable of thinking and making control decisions on their own using AI technology.
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.
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.
Recent breakthrough developments in technologies for real-time genome sequencing, analysis, and diagnosis are poised to deliver a new standard of personalized care.
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.
“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.”
High-five or thumbs-up? Researchers have developed a wearable sensor that detects which hand gesture you want to make.
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"
Researchers have enabled a quadriplegic man to control a pair of prosthetic arms with his mind.
The Shadow Robot Dexterous Hand is a robot hand, with size, shape and movement capabilities similar to those of a human hand.
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 key symptom of COVID-19 – oxygen saturation – is now being estimated remotely from a camera, thanks to research from University of South Australia (UniSA).
Researchers at the Hamlyn Centre, Imperial College London, have introduced a novel tool for generating accurate endoscopic datasets.
A computer vision technology has been put into a free mobile phone app for regular monitoring of glucose levels in people with diabetes.
Researchers have adapted a new class of materials for their groundbreaking volumetric 3D printing method that produces objects nearly instantly, greatly expanding the range of material properties achievable with the technique.
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.
Scientists have made a breakthrough in their work to develop semi-autonomous colonoscopy, using a robot to guide a medical device into the body.
Linking the human brain to a computer is usually only seen in science fiction, but now scientists have harnessed the power of 3D printing to bring the technology one step closer to reality.
Researchers have developed a revolutionary cortical vision device that could one day help restore vision to the blind.
Researchers explain how computer scientists and clinicians are trying to reduce fatal medical errors by building “ambient intelligence” into the spaces where patients reside.
Researchers hope to reduce the risk to healthcare workers posed by Covid-19 by using robots to remotely measure patients’ vital signs.
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.
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 have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Researchers have designed a wrist-mounted device and developed software that allows continuous tracking of the entire human hand in 3D.
Scientists have developed a sensory integrated artificial brain system that mimics biological neural networks, which can run on a power-efficient neuromorphic processor.
Researchers have developed a neural network capable of recognizing retinal tissues during the process of their differentiation in a dish.
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.
Sending small electrical currents to the fingertips of someone operating a robotic arm can help surgeons during robot-assisted procedures.
A ‘pandemic drone’ to remotely monitor and detect people with infectious respiratory conditions is being developed.
Various prototypes of 3D-printed biopsy robots could alleviate the suffering of patients and make breast cancer testing more accurate and efficient.
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.
Scientists have developed a soft artificial skin that provides haptic feedback and has the potential to instantaneously adapt to a wearer’s movements.
A research team has succeeded in identifying specific patterns in Electro-Encephalogram (EEG) analyses that the deep learning network uses for making prognosis decisions.
Research shows that digital phenotyping can provide valuable information to mental health professionals about mental illness symptom severity and relapse.
Scientists are creating chatbots thet can express and respond to emotion during a conversation—including AI companions that could help relieve loneliness for seniors.
Researchers are pushing the boundaries of evolution to create bespoke, miniaturised surgical robots, uniquely matched to individual patient anatomy.
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
Interacting with a robotic teddy bear invented at MIT boosted young patients’ positive emotions, engagement, and activity level.
Researchers have found a significant improvement in the peripheral awareness of people who played computer games specially designed around using peripheral vision.
Wearing a sensor-packed glove while handling a variety of objects, researchers have compiled a massive dataset that enables an AI system to recognize objects through touch alone.
Strokes often have a devastating impact on the hands. Researchers are collaborating on a vibrating glove that could improve hand function after a stroke.
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.
Scientists have developed a new tool that can screen children for fetal alcohol spectrum disorder (FASD) quickly and affordably.
Scientists have developed a soft wearable hand robot that can aid the hand-disabled by using machine learning algorithm and sensory hardware.
Doctors could get a head start treating cancer thanks to new AI developed at the University of Surrey that is able to predict symptoms and their severity throughout the course of a patient’s treatment.
Augmented reality technology gives objects "voices," enabling a vision-impaired person to hear what is in their surroundings.
Researchers are working on an interactive robot called Pharos that will help the elderly with their daily household chores.
Anorexia nervosa patients prefer underweight bodies, scientists find when they investigated body perception using virtual reality.
Researchers use augmented reality tools to connect health care professionals in war zones, natural disasters and in rural areas with more experienced surgeons and physicians around the world.
University of Texas at Arlington patents headset that allows persons to point to objects of interest using their eyes.
Researchers used a customized, low-cost 3D printer to print electronics on a real hand for the first time.
Eric Schmidt has strong opinions about the healthcare system, its providers and professionals. He critized that the healthcare ecosystem was still being stuck in the “stone age" and challenges it to "focus on innovation".