Xiang Li, PhD, with Massachusetts General Hospital’s Department of Radiology, and colleagues showed their platform could identify pneumothorax when tested on scans with and without the condition, doing so in less than three minutes per scan.

A new AI platform takes a mere 10 seconds to identify key findings on a patient’s chest x-ray, compared to the 20 minutes typically required.

J. Raymond Geis, MD, senior scientist at the ACR Data Science Institute, spoke with HealthImaging about the recently published multisociety statement on ethical AI in radiology.

“The radiology community needs an ethical framework to help steer technological development, influence how different stakeholders respond to and use AI, and implement these tools to make the best decisions for—and increasingly with—patients," said one of the paper's lead contributors, Raymond Geis, MD.

Researchers out of the U.S. have created an AI smartphone app to automatically identify cardiac devices—such as pacemakers—on chest x-rays, describing their process in JACC: Electrophysiology.

“This review is the first to systematically compare the diagnostic accuracy of all deep learning models against health-care professionals using medical imaging published to date,” wrote authors of a new study published in The Lancet Digital Health.

The researchers believe utilizing AI to read cardiac MRI scans could save 54 clinician-days per year at each UK health center.

More than 350 teams submitted results as part of the SIIM-ACR Pneumothorax Detection and Localization Challenge and were required to create algorithms to prioritize patients for quick review and treatment.