A primary aim of medical humanities as a field today is teaching medical students how to harmonize technological innovations with care models such that patients are treated as whole persons: They have not just bodies but also minds, relationships—and lives. 

A team of biomedical engineers, radiologists and cardiologists has developed a new AI model capable of restoring low-quality cardiac MRI scans.

Dana Smetherman, MD, CEO of the American College of Radiology, says the organization wants to see transparent explainability of algorithms to increase public trust. 

The scanner requires just 0.7 liters of liquid helium for cooling—a fraction of the more than 1,500 liters standard systems need to operate safely. 

Federal lawmakers have a fresh resource to keep them up on healthcare AI that falls outside of formal FDA oversight. It comes in the form of a new report from the nonprofit Bipartisan Policy Center.

Imaging experts advocate for “meticulous assessments” of cases that include luminal cancer, dense breasts, and lesions located outside the mammary zone, among other factors. 

Patients who frequently use AI tend to readily trust AI-assisted diagnoses made by their physicians. Counterintuitively, however, those who would rank themselves among the very best-informed about AI tend to mistrust such diagnoses. 

The opportunistic screening helps identify patients in need of monitoring and/or intervention without disrupting workflows.