Two New Artificial Intelligence Models Seek to Make MRI More Accurate, Reliable

Two new models, developed by researchers in the lab of Li Wang, PhD, associate professor of radiology in the UNC School of Medicine, can produce more accurate and reliable analysis of brain structures, which is critical for early detection, medical diagnosis, and neurological research.

Imaging Market Share Analysis Shows 28% of Image Interpretation Performed by Non-Radiologists

A new Harvey L. Neiman Health Policy Institute study found that radiologists interpreted 72.1% of all imaging studies for Medicare fee-for-service beneficiaries in 2022, with the remaining 27.9% performed by other types of clinicians.