American College of Cardiology

AI's impact on radiology and patient care discussed by experts at national conference, highlighting benefits and challenges.

The Coalition for Health AI is launching a new registry for model cards, or AI "nutrition labels," from across the industry.

In this digital era, machine learning transforms cardiovascular disease (CVD) management by enhancing prediction accuracy, adapting to evolving medical data, and optimizing treatment. Vikas Nelamangala's research explores innovations in temporal data simulation and drift-resilient models,

The goal of the registry is to make it easier for healthcare companies to evaluate and shop between validated AI tools, the standards consortium said.

In a recent interview with Fierce Biotech's Chris Hayden, Fortrea's Chief Technology and Data Officer Alaric Jackson discussed the growing role of AI in clinical trials. | Fortrea's CTO discusses AI's expanding role in clinical trials,

Although AI shows significant promise in diagnosing and managing age-related macular degeneration, its efficacy is reduced by bias, data quality and limited generalizability, according to a review published in BMJ Open Ophthalmology.

By Nancy Lapid (Reuters) - "Hello, Health Rounds Readers! Today we feature two more studies on ways that artificial intelligence can potentially transform healthcare, including an improvement in heart monitoring just in time for Valentine's Day.

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon emission computed tomography (SPECT),