Christoph Wald, MD, vice chair of the American College of Radiology Board of Chancellors, explains the partnerships with academic institutions to create the Health AI Challenge will help provide a better understanding of how foundational AI models work.

FDA Commissioner Robert Califf, MD, explains the need for hospitals to perform quality assurance checks on clinical artificial intelligence to ensure these technologies don't "drift" from what was originally cleared by the FDA.
 

Dana Smetherman, MD, CEO of the American College of Radiology, explains resources available through its Data Science Institute to evaluate and validate the quality of imaging algorithms.

The American Medical Association adopted a policy calling for medical staff to be involved in decisions about adopting AI that may impact patient care.

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

Four of five hospital leaders trust the accuracy of their institution’s data. Yet almost half of useable data gets underutilized if not completely untapped for guiding business and clinical decisions.

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.