Experts involved in the algorithm's development believe its time-saving potential could help improve both radiologist workflows and patient outcomes. 

In recent years, there has been much talk of the potential for large language models to improve radiology workflows.

Radiologist Jessica Porembka, MD, FSBI, an associate professor with the breast imaging division at University of Texas Southwestern Medical Center, explains what it means when a mammography report says a patient has architectural distortion.
 

The checklist was created to walk researchers through every operational step of using portable MRI, from creating protocols to prepping patients, ensuring patient safety, handling incidental findings, data privacy and more. 

Using the new solution, CTA recons are completed in a matter of minutes, not hours.

Nina Kottler, MD, associate CMO for clinical AI at Radiology Partners, explains the movement toward greater regulation of artificial intelligence and the need to test for bias. 

The pseudo-government organization led by billionaire Elon Musk has been given read-only access to payment, contract and staffing records at the agency. 

Medical students are broadly familiar with digital health technologies. Relatedly, they believe AI will play a crucial role in the future of healthcare. These are good signs for the advancement of evidence-based medicine. 

The RBMA recently released its 2025 Advocacy Agenda, highlighting cuts to radiologist reimbursement, workforce shortages, and “evolving healthcare policies.”