
Mixed reality enhances brain surgery
A research program explores the use of mixed reality for enabling surgeons to identify brain tumors quickly and precisely.
A research program explores the use of mixed reality for enabling surgeons to identify brain tumors quickly and precisely.
Biomedical engineers at Duke University have developed an open-source software platform that automates 3D electrical nerve stimulation modeling.
Researchers at the Pennsylvania State University plan to test next-generation artificial intelligence skills withinthe video game Minecraft.
Tests show that the device can help patients safely and effectively manage their blood glucose levels and reduce the risk of low blood sugar levels.
Hey GUI helps you find information on apps and their user interfaces with a simple conversation rather than complex tools or code.
Little table, talk to me: Specialists have created an integrated radar technology makes it easier to care for the elderly.
Researchers use AI software to predict coronary artery plaque composition and significance without the risks of invasive procedures.
Researchers identify machines by their unique ‘hot end,’ could aid intellectual property, security.
Someday, scientists believe, tiny DNA-based robots and other nanodevices will deliver medicine inside our bodies, detect the presence of deadly pathogens, and help manufacture increasingly smaller electronics.
A new device consisting of a 3D-printed wristband can remotely monitor patients' vital signs, such as body temperature, oxygen saturation, pulse, and respiratory rate.
Researchers are developing exoskeletons and prosthetic legs capable of thinking and making control decisions on their own using AI technology.
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).
Why do people learn new skills at different speeds? A medical training aid is addressing this question by blending sensory technology with psychological insight.
Virtual reality software which allows researchers to 'walk' inside and analyse individual cells could be used to develop new treatments for disease.
A new machine learning–based online tool allows for early detection of COVID-19 outbreaks in different U.S. counties.
Scientists have used machin -learning to organize the chemical diversity found in the ever-growing databases for the popular metal-organic framework materials.
avateramedical GmbH announced the acquisition of FORWARDttc GmbH, an automation technology company with special focus on robotics hard- and software.
The Fraunhofer IBMT is developing the miniaturized ultrasound system for automated monitoring of bladder irrigation.
Researchers have developed a framework that will help data scientists and other researchers use better digital health tools for clinical purposes.
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
A new touch-screen therapy tool could accelerate the recovery of patients who have suffered a stroke and change the way rehabilitation is delivered in hospitals and homes.
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Researchers have developed a method of adopting kirigami architectures to help materials become more strain tolerant and more adaptable to movement.
Advanced computer models of diseases can be used to improve diagnosis and treatment. The goal is to develop the models to “digital twins” of individual patients.
Spine surgery: A new robotic technology increases the safety and precision of spinal fusion surgeries while reducing the time needed for the procedure.
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.
Algorithms using data from antibody signatures in peoples’ blood may enable scientists to assess the size of cholera outbreaks and identify hotspots of cholera transmission more accurately than ever.