A University of Florida researcher has developed an open-source computer program that uses artificial intelligence to analyze videos of patients with Parkinson’s disease and other movement disorders. The tool, called VisionMD, helps doctors more accurately monitor subtle motor changes, improving patient care and advancing clinical research.
U-Pump announced on social media that it reached a new milestone in its development of an AI-powered, reusable insulin patch pump.
Researchers designed MAIJU (Motor Assessment of Infants with a Jumpsuit) to solve these problems. The suit is based on multisensor measurements, which are used to make reliable and versatile measurements of children’s motion with the help of dedicated AI algorithms.
University of Virginia School of Medicine scientists have created a computational tool to accelerate the development of new disease treatments. The tool goes beyond current artificial intelligence (AI) approaches by identifying not just which patient populations may benefit but also how the drugs work inside cells.
Dr. George Shaker has huge hopes for a small radar device he developed with a team of researchers at the University of Waterloo. An engineer who has pursued the possibilities of radio waves for more than 20 years, Shaker envisions the installation of the silent, unobtrusive system almost everywhere people sit to help detect heart problems before they become life-threatening.
Using Nvidia and GE Healthcare technology, the robotic surgery system is intended to help doctors detect lung cancer earlier.
A technology developed by the Brazilian company brain4care has been shown to be able to measure absolute values of intracranial pressure (ICP) more accurately than existing non-invasive methods. This is the result of a study published in the journal npj Digital Medicine by researchers from the University of São Paulo in Brazil, the University of Cambridge in the United Kingdom, Emory University in the United States, and the company itself.
Researchers at the University of Jyväskylä, in collaboration with the University of Turku’s Institute of Biomedicine, University of Helsinki and Nova Hospital of Central Finland, have developed an advanced artificial intelligence tool for automatic analysis of colorectal cancer tissue slides.
Researchers have achieved a breakthrough in wearable health technology by developing a novel self-healing electronic skin (E-Skin) that repairs itself in seconds after damage. This could potentially transform the landscape of personal health monitoring.
CHICAGO, Feb. 6, 2025 /PRNewswire/ — Sibel Health, an award-winning medical technology company that develops advanced wearable sensors, software, and AI/ML algorithms for clinical trials and clinical care, is pleased to announce a major peer-reviewed publication, “Artificial Intelligence-Enabled Wearable Devices and Nocturnal Scratching in Mild Atopic Dermatitis,” in JAMA Dermatology. This research describes a groundbreaking digital health technology designed to measure and reduce nighttime scratching in people with mild atopic dermatitis.