London-based imaging tech company received the green-light for its red dot “instant triage” platform.

The American Board of Artificial Intelligence in Medicine was recently incorporated as a not-for-profit, with plans to "transform healthcare for everyone."

The system did stumble when interpreting exams from an outside hospital, but the researchers believe there's a bright future for such tools as radiology aides.

The heart-based risk information was taken from colorectal cancer screening exams and beat out the Framingham risk score and body mass index.

The conference is moving "full steam ahead as scheduled" for March 9-13 in Orlando, but the list of vendors pulling out—which now includes Amazon and Siemens Healthineers—continues to grow amid coronavirus fears.

“Given the potential impact diagnostic errors can have on patient outcomes, new AI tools and technology that can assist radiologists may be of great value as clinicians strive to continuously decrease error rates and improve patient care,” researchers wrote in Academic Radiology.

Although they've often been kept on the sidelines, patients believe artificial intelligence should address a number of clear priorities.

A generative adversarial network accurately segmented brain white matter volume by analyzing hundreds of patient images, researchers reported in the Journal of Digital Imaging.

The study is the first, and largest of it's kind, according to researchers from the University College London, and offers new insights into how the heart functions.

Discussing discordant findings on breast cancer screening exams improves care, and international experts believe the U.S. should reconsider its "single-reader paradigm," they wrote in Radiology.

A Seattle-based researcher dramatically reduced the time necessary to read a scan from four hours down to seven minutes.

One expert believes AI "simply isn't ready" to handle the ever-growing workload many imaging professionals are encountering, sharing his thoughts Feb. 4 in Forbes.