A Concordia-led team of researchers has developed a new AI-driven robotic system that can perform cardiac ultrasound scans autonomously. The researchers say this approach could expand access to cardiac imaging in remote or underserved areas, reduce operator fatigue, and standardize scan quality. The work is published in the journal IEEE Transactions on Medical Robotics and Bionics.
Researchers developed the Cardiac Autoregressive Model for ECG Language-Modeling (CAMEL), an artificial intelligence model that treats ECG less like isolated snapshots and more like language.
Professor Iksung Kang (School of Electrical Engineering), in collaboration with Professor Na Ji’s research team at UC Berkeley, has developed a technology that accurately corrects image aberrations in microscopes used for live biological imaging.
An anonymous gift helped Tufts researchers speed up a project to develop new drugs that could prevent and treat Lyme disease
An AI model (REDMOD) can pick up the very early subtle tissue changes of pancreatic ductal adenocarcinoma, the most common form of pancreatic cancer, which conventional imaging and the human eye find difficult to detect, finds research published online in the journal Gut.
NEW YORK, April 27, 2026 /PRNewswire/ — TytoCare, a virtual care company enabling accessible, high-quality primary care from home, today announced it has received FDA De Novo classification for the first model of Tyto Insights™ for ENT Suite, marking the creation of a new regulatory category for AI-powered ENT image analysis.
For the first time, researchers have used an advanced AI model that understands both images and language, allowing them to model dyslexia, paving the way for potential new treatments.
A research group led by Professor Toru Nakazawa at the Tohoku University Graduate School of Medicine has developed an artificial intelligence (AI) model that estimates “retinal age,” an indicator reflecting an individual’s biological aging, from a single fundus photograph of the retina
A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial intelligence (AI) pathology analysis system that can accurately recognize multiple types of cancer using only a minimal number of samples.
Together with a team from the University of Luxembourg, researchers from Heinrich Heine University Düsseldorf (HHU) and University Hospital Düsseldorf (UKD) have succeeded in utilizing artificial intelligence (AI) to establish a model that enables a better understanding of Leigh syndrome.