Rather than test artificial intelligence's ability to detect malignant lesions on imaging, researchers instead recently explored how it impacts radiologists' interpretation processes.

Digitization of exams has made the imaging industry a “prime target” for cybercriminals, experts wrote recently in the Journal of the American College of Radiology. 

Dana Smetherman, MD, CEO of the ACR, explains a resolution adopted at the American Medical Association House of Delegates meeting calling for new health IT standards. 

The LLM’s responses may be misleading in certain situations, which could pose problems for patients who trust the medical advice it provides.

A specialized large language model developed specifically for radiology could be key to helping patients better understand their imaging results. 

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

This marks the first major update to the HIPAA Security Rule in over a decade, with HHS seeking to require multifactor authentication and written documentation of all policies. 

In the rapidly evolving healthcare landscape, artificial intelligence (AI) is making significant strides in improving radiology workflow and patient care coordination. Nicholas Galante, MD, medical director of informatics at Radiology Associates of North Texas, recently discussed how technology from Viz.ai is transforming his radiology practice, enhancing efficiency, and ultimately benefiting patient outcomes.