Diagnostic Imaging's Weekly Scan: August 21-August 27

Thirty-five percent of the interventional radiology malpractice cases involved vascular procedures and 26 percent of overall malpractice cases that went to trial resulted in plaintiff judgments with the average award being over $2 million.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

New research suggests the capability of a mammography-based deep learning model to identify women at high risk of breast cancer led to more than triple the cancer detection rate on breast MRI in comparison to traditional risk assessment tools.

In the second episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss recent studies published by the Journal of the American Medical Association (JAMA) that suggested moving to more of a risk-adapted model for mammography screening.

The use of automated detection of large vessel occlusion on computed tomography (CT) through artificial intelligence (AI) software reportedly led to an 11.2-minute reduction in triage time from the completion of imaging to initiation of endovascular therapy, according to newly published research.

Over 80 percent of head and neck computed tomography angiography (CTA) exams performed in the emergency department had no actionable findings for patients with non-focal neurologic complaints, and 67 percent of the exams were ordered by non-physician practitioners (NPPs), according to a newly published study.