An AI tool named “Sybil” was able to forecast both short- and long-term lung cancer risk based on a single low-dose CT (LDCT) scan, researchers reported.

In efforts to speed workflow, improve patient care and augment an increasingly shorthanded clinical workforce, AI is starting to see wider adoption across healthcare. But there are questions regarding who is liable if an AI application fails and it results in a malpractice lawsuit.

Two artificial intelligence (AI) programs, including ChatGPT, have passed the U.S. Medical Licensing Examination (USMLE), according to two recent papers.

Inside News: Quarterly publication of The Royal Australian and New Zealand College of Radiologists - Volume 14 No 2 / Mar 2018

ML Tool Detects Biomarker in Stroke Patients. RSNA/AAPM Symposium Focuses on Low-dose CT. Human Factors Impact Reporting of Safety Events. MRI-Based Technology Promising in Alzheimer’s. RSNA Online Series Targets Health Care Economics.

The past year has witnessed huge advances in the development of artificial intelligence (AI) for healthcare applications. What impact will this new generation of AI software have on radiology? Dr. Paul Chang of the University of Chicago offers his thoughts in this interview. From www.auntminnie.com

Explore. Invent. Transform. The theme of RSNA 2017 invites attendees to investigate and advance radiology through innovation as a means of creating positive impact on patient care.