Targeted interventions could help reduce pre-test anxiety, improve the physical screening experience, and address structural barriers in underserved settings.
American College of Radiology Chief Executive Officer Dana Smetherman, MD, explains the highlights of the recent BI-RADS Version 2025 release, the first update in more than a decade.
Previous research has shown that resistance to medical AI may be caused by difficulty in understanding both algorithms and human decision-making in healthcare.
RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model.
Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.
A new analysis is prompting questions regarding how rigorously many of the AI-enabled tools approved by the U.S. Food and Drug Administration are evaluated prior to their clearance.