The American College of Radiology (ACR) Data Science Institute (DSI) and Society for Imaging Informatics in Medicine (SIIM) are joining forces on May 30 to host the Spring 2018 Data Science Summit: Economics of Artificial Intelligence (AI) in Health Care.

A new artificial intelligence (AI) technology from healthcare startup Qure.ai can accurately identify serious abnormalities in head CT scans with more than 95 percent accuracy, according to a press release.

The FDA is working to encourage the use of artificial intelligence (AI) technologies in healthcare, according the prepared remarks by the agency’s commissioner, Scott Gottlieb, MD, at Health Datapalooza in Washington, D.C.

A team at Geisinger Health System in Pennsylvania created a machine learning platform able to read CT scans that reduced the time to detect internal bleeding by 96 percent.

A group of researchers at Thomas Jefferson University utilized super-resolution live-cell microscopy to visualize connections between neurons strengthening in real-time that produced structural changes in the brain.

Stanford researchers, who have previously witnessed artificial intelligence (AI) performing on par with board-certified dermatologists, are turning to computer vision to ensure patient safety and improve physician hygiene.

A robotic needle-placement system outfitted with correction software to improve its accuracy in mechanizing computed tomography (CT)-guided needle placement, according to a study published ahead of print in the Journal of Vascular and Interventional Radiology.

A recent editorial in STAT argued that as artificial intelligence (AI) continues to proliferate, the need for human providers will not decrease—rather, their knowledge will become more valuable in decision-making.