The people who can least afford healthcare are often among those who need healthcare the most. 

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. 

Medical device companies navigating regulatory pathways should know: Large language models are not reliable guides. 

Almost one in three healthcare organizations allow their people to use AI without formal restrictions. 

Hospitals that partner with either company will now experience the benefits of both, learning more about the long-term heart health of their patients than ever before.

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Evan Shlofmitz, DO, director of intravascular imaging at St. Francis Hospital, explains how advanced artificial intelligence technology is used to assess a patient's CT scan before they undergo PCI.

Dermatologists increasingly rely on medical imaging modalities—especially but not solely ultrasound—to help diagnose complex and diverse skin disorders.