AI can play a key role in the development of state-of-the-art training techniques for surgery, according to new findings published in PLOS One.

AI is expected to impact radiology more than perhaps any other medical specialty. In healthcare, though, nothing is a given.

Ping An has launched a new AI-powered system for evaluating CT scans for signs of the Wuhan coronavirus, or COVID-19.

Qure.ai, a Mumbai-based AI startup, raised $16 million in a recent funding round.

AI models may make robotic interactions much more beneficial for children with an autism spectrum disorder (ASD), according to new research published in Social Robotics.

Nuance Communications has launched a new ambient clinical intelligence solution designed to improve the quality of hospital visits for both physicians and patients.  

Boston Children’s Hospital developed an online resource, HealthMap, for monitoring outbreaks using real-time surveillance—and now that technology is being used to track the spread of the Wuhan coronavirus, or COVID-19.

A machine learning-powered smartphone application could help patients with a chronic cough document their symptoms over an extended period of time, according to new findings published in Digital Biomarkers.

The Consumer Technology Association (CTA) has developed a new standard for the use of AI in healthcare, working with representatives from more than 50 organizations impacted by this evolving technology.

Researchers have developed a cost-effective technique for breast cancer screening that does not require radiation exposure.

Nocturnal enuresis (NE), or bedwetting, affects up to 20% of 5-year-old children and 5% of 10-year-old children.

An AI-powered wearable sensor can detect changes in heart failure patients before an actual crisis occurs, according to new findings published in Circulation: Heart Failure.