In a head-to-head commentary piece recently published in The BMJ, three researchers argued if AI's impact could eventually cause physicians to become obsolete.

The FDA has given 510(k) clearance to software that uses AI to detect the presence of brain bleeds in CT images.

Deep-learning models trained to detect pneumonia from chest X-rays performed worse when tested on X-rays from outside their original hospital systems, suggesting AI tools should undergo a wide range of testing before being used in clinical settings.

Artificial intelligence may help stop the “downward spiral in productivity” in the healthcare system that has been plagued by labor-intensive, inefficient administrative tasks, according to an article in the Harvard Business Review.

Before healthcare providers go all-in with machine learning, the technology needs to align with safety and ethical standards, according to a recent perspective published in PLOS Medicine.

A deep learning algorithm developed using imaging data from more than 1,000 Alzheimer’s disease (AD) patients can accurately predict the presence of AD more than six years before a doctor finalizes a diagnosis, researchers reported in Radiology Nov. 6.

Five technology centers dedicated to using AI to speed up disease diagnosis and improve patient outcomes are opening throughout the United Kingdom.

Researchers at the University of California, Los Angeles created a cheap, portable device that uses artificial intelligence (AI) to recognize and classify common airborne allergens.

NinePoint Medical, a Massachusetts-based medical device company, has received market clearance from the FDA for its new AI-based platform for image feature segmentation.

Florida-based telehealth provider MDLive is now incorporating artificial intelligence (AI) into its virtual healthcare services with its new interactive chatbot named “Sophie,” according to a report by the Sun Sentinel.