“Dr. Matsumoto is a trusted physician leader with a long record of service to the college and a clear commitment to quality, safety and patient-centered care,” ACR CEO Dana H. Smetherman, MD, said May 4.
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
Rad Partners said the addition will help support the company's long-term focus on "physician-led excellence, clinical and technology innovation, and high-quality radiology services at scale."
The 4D system harnesses X-ray diffraction to measure molecular-level signatures of disease; these tissue “fingerprints” could help providers diagnose breast cancer in its earliest stages.
About 38% of rads surveyed said they had defended against at least one lawsuit, with such specialists at a higher risk than others in internal medicine.
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.
