When AI first started gaining popularity in healthcare, many providers were critical, skeptical or just avoided learning about the technology altogether. However, according to a new analysis, the time has come for cardiologists to step up and pay close attention.

AI models can be trained to predict outcomes for patients receiving thrombolysis for acute ischemic stroke (AIS), according to a new study published in the Journal of the Neurological Sciences.

The Wuhan coronavirus has already infected thousands of people around the world, with its death toll quickly approaching triple digits. Can AI prove to be a valuable tool in studying the spread of such illnesses?

This common gesture is meant to signal joy at the end of treatment, but it's producing the opposite effect for some oncology patients, according to a recent survey. 

When research teams are developing deep learning models, they have to make certain decisions about the image resolutions used in their work. For instance, should they always aim to use the largest images possible? Or are there times when smaller images can get the job done?  

Dermatologists need to be more involved in the development of AI technologies designed to evaluate skin cancer, according to a new analysis published in the Journal of the American Academy of Dermatology.

Hospitals have partnered with several technology giants, including Microsoft, IBM, Google and Amazon and handed over valuable and identifiable patient information in data deals, according to The Wall Street Journal.

TeachAids, a nonprofit organization focused on health education, has launched a new virtual reality (VR) program that teaches young athletes how to play safe and properly diagnose and treat a concussion.