The results could lead to expanded use of chest radiography in interstitial lung disease clinics, experts reported in the American Journal of Roentgenology.

The AI development team was guided by a sports-medicine specialist dubbed “the go-to orthopedic surgeon for many of the greatest athletes on the planet.”

Promising new research methods have been able to train AI to more accurately spot image anomalies.

Women’s health specialists have demonstrated the customization of a commercial AI-based chatbot platform for patients with hereditary breast and ovarian cancer. The pilot project took many hands and much manual labor to complete, but the team suggests the effort has been worth the payoffs.

AI technologies likely can go only so far toward improving on hearing aids and cochlear implants. However, AI and hearing experts expect fertile grounds to open for exploration in clinical as well as research arenas.

Only two-thirds of U.S. healthcare consumers are OK with surgeons using digital facial recognition to avoid medical error by confirming patient identity.

Outputs from the assessed AI prototypes were robust across different scanners, though larger patients posed challenges, experts wrote in Academic Radiology. 

This proved true for detecting pneumothorax, as networks developed on hand-labeled images outperformed tools refined via natural language processing.