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.

Siemens Healthineers announced Thursday, Sept. 26, that it has received FDA clearance for three modules of the company’s AI-Rad Companion Chest CT software.

AI models can interpret medical images with a diagnostic accuracy comparable to that of actual physicians, according to new findings published in The Lancet Digital Health. 

Researchers have developed an AI algorithm that can help identify patients who have suffered a stroke and would benefit from an endovascular thrombectomy.

“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.

A new machine learning algorithm can determine which stroke patients would benefit from an endovascular thrombectomy based off of CT angiography (CTA) scans, according to new research out of the University of Texas Health Science Center at Houston.