Boston-based medical network Partners HealthCare will be rolling out new software and support services over the next 12 months with the goal of involving more physicians and health experts in AI research.
More than 30 major companies and organizations including Google, FitBit and the Federation of State Medical Boards announced April 4 they’re joining the Consumer Technology Association’s (CTA) new initiative on AI in healthcare.
A deep learning model trained on more than 1.5 million electrocardiograms and developed by a team at the Mayo Clinic improved detection rates for hyperkalemia in patients with chronic kidney disease (CKD), according to a study published April 3 in JAMA Cardiology.
Mental health researchers at Harvard and the University of Pennsylvania have developed a novel machine learning technique for predicting how bipolar patients will respond to two drugs commonly prescribed to treat the disorder, according to a study running in Bipolar Disorders.
Massachusetts Gov. Charlie Baker issued a piece of cautionary advice to healthcare executives April 8, urging them to take the recent rise of AI with a grain of salt, the Boston Business Journal reported.
A combination of the established denoising algorithm NeighShrink and chi-square unbiased risk estimation (CURE) could reduce noise in magnetic resonance (MR) images more effectively than traditional methods, according to research published in Artificial Intelligence in Medicine.
Industrial and biomedical engineers at Purdue University have demonstrated a way to print devices in 3D such that they squeeze, move and otherwise feel like human hands. The team’s hope is to create soft robots that can help care for elderly patients with a human-like touch when nursing shortages become the norm.
The nonprofit Edison Universe has named the winners of the 2019 Edison Awards, recognizing innovations of various sorts in industries of all kinds. Some of the best breakthroughs involve high tech in healthcare.
Recent advances in AI have enabled positive change in numerous areas, including public safety, sustainability and healthcare. But when algorithms go awry—as some inevitably will—who should shoulder the blame?
Just under a year after first announcing its strategy to manage new AI, the European Commission on April 8 presented a seven-step approach to ensuring that all future AI solutions are ethical and trustworthy.