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.
“Physical AI agents being able to actually deliver some of these services—all the way into robotic surgery—this is where we're going to see this next chapter of medicine be written,” said Kimberly Powell, vice president and general manager of healthcare at Nvidia.
The Soft-Tissue Tumor Reporting and Data System (ST-RADS) is an MRI framework that was designed to assess the risk of soft tissue tumors and help providers in managing the finding.
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.