3D printing and computer-aided intraoperative navigation used to separate a pair of infant twins whose heads were fused together since birth. | AuntMinnie.com | By staff writers

An artificial intelligence (AI) algorithm that analyzed free text in patient reports was better than existing risk models in predicting which symptomatic individuals were actually experiencing a transient ischemic attack. | AuntMinnie | Erik L. Ridley, staff writer

Women who have experienced ischemic stroke are less likely than men to be evaluated by stroke specialists and to undergo additional diagnostic imaging. | AuntMinnie.com | By staff writers

This article appeared in the University of Nottingham's Asia Research Institute’s online magazine, Asia Dialogue. By Elena Collinson

This article appeared in the University of Nottingham's Asia Research Institute’s online magazine, Asia Dialogue. By James Laurenceson

By Matt O'Connor | Diagnostic Imaging | Health Imaging

AI and machine learning can help physicians rapidly and accurately diagnose diseases—but deployment has been a challenge. Discover how new edge solutions simplify computer vision and data analytics. By Robert Moss, insight.tech

Smart technologies are often touted as the answer to some of cardiology’s greatest challenges in patient care and practice. Randy Young | Artificial Intelligence | AI in Healthcare

Artificial and augmented intelligence are driving the future of medical imaging. Tectonic is the only way to describe the trend. And medical imaging is at the right place at the right time. Mary C. Tierney, MS | Artificial Intelligence | AI in Healthcare

Interactive multimedia radiology reports better meet the needs of clinicians than traditional text-based reports, while radiologists benefit from greater efficiency. By Erik L. Ridley, AuntMinnie staff writer