Radiology, the medical specialty into which AI has made the furthest initial inroads in the U.S., is embracing the technology in France. And this is so despite French radiologists feeling underinformed on AI up to now.

Some are calling the first generation whose members will never have known life without smartphones “Generation Alpha.” And some are predicting they’ll be as reliant on AI as Millennials and Generation Z have been on the internet.

The simultaneous advances of deep learning and radiomics may soon yield a single unified framework for clinical decision support that has the potential to “completely revolutionize the field of precision medicine.”

An artificial intelligence “super brain” could help eliminate unnecessary diagnostic testing in patients who present with stable chest pain, according to a recent study, potentially saving physicians and patients significant time and money.

The FDA has given 510(k) clearance to an AI alert for urgent finding of a collapsed lung in chest X-rays. The approval is a first for an AI-based chest X-ray solution that can help doctors make quicker diagnoses from one of the world’s most used imaging modalities.

AI can predict death or heart attack better than humans, according to a new study presented at the International Conference on Nuclear Cardiology and Cardiac CT (ICNC) in Lisbon.

Researchers at Duke and in Tanzania have developed an algorithm for discerning the extent of a traumatic brain injury (TBI) in a low-resource setting.

Combing through insurance claims and other health data on more than 72 million U.S. residents, a machine learning algorithm was able to quite accurately identify more than 222,000 individuals who have very early stage Alzheimer’s disease.