Ultrasonic sensors for postoperative bladder monitoring
The Fraunhofer IBMT is developing the miniaturized ultrasound system for automated monitoring of bladder irrigation.
software
Verifying and validating the clinical usefulness of wearables
Researchers have developed a framework that will help data scientists and other researchers use better digital health tools for clinical purposes.
Deep learning accurately stains digital biopsy slides
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Machine learning system crack COVID-19 genome signature
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
Smart software detects early-stage esophageal cancer
Thanks to smart software doctors will soon be able to detect early signs of esophageal cancer in patients with so-called Barrett’s esophagus.
Game changer: New software for stroke rehab
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.
ConvPath software uses AI to identify cancer cells
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
Kirigami inspires new method for wearable sensors
Researchers have developed a method of adopting kirigami architectures to help materials become more strain tolerant and more adaptable to movement.
Digital twins could aid personalized therapy
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.
Robotic technology enhances spine surgery
Spine surgery: A new robotic technology increases the safety and precision of spinal fusion surgeries while reducing the time needed for the procedure.
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.
Tracking cholera outbreaks with AI
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.
AI predicts survival of ovarian cancer patients
Researchers have created new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer.
Predicting leaky heart valves with 3D printing
Researchers have created a novel 3D printing workflow that allows cardiologists to evaluate how different valve sizes will interact with each patient's unique anatomy, before the medical procedure is actually performed.
Augmented reality to guide the blind
Augmented reality technology gives objects "voices," enabling a vision-impaired person to hear what is in their surroundings.
“CheXNeXt” outperformed radiologists in evaluating chest X-rays
In a matter of seconds, a new algorithm read chest X-rays for 14 pathologies, performing as well as radiologists in most cases, a Stanford-led study says.
“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.
Using VR to study the neuroscience of hearing
Cool tools for scientists: Researchers view cells for hearing in 3D using virtual reality
Avatar measures people’s gait efficiency
New avatar-based software developed at EPFL looks at how people walk in order to predict their energy expenditure. The software could have many uses in both medicine and sports.
AI automates radiation therapy planning
Engineering researchers have developed automation software that aims to cut the time of developing radiation therapy plans down to mere hours.
App for autism screening yields useful data
A study of an iPhone app to screen young children for signs of autism has found that the app is easy to use, welcomed by caregivers and good at producing reliable scientific data.
Algorithms for liver surgery make operations more safe
Researcher have developed algorithms that analyze patients‘ imaging data and calculate surgical risks. This makes liver cancer surgery safer and easier to plan.
Augmented reality app may aid patients with Parkinson’s
Bioengineering students program smartphone to guide patients who ‘freeze’ while walking.
AR lets doctors see under patients’ skin
Augmented reality system, called ProjectDR, lets clinicians see patients’ internal anatomy displayed right on the body.