Eyesight researchers have developed a machine-learning architecture whose best model, an ensemble classifier, achieved 93.4% accuracy in separating good candidates for corneal refractive surgery from patients likely to have post-surgery complications or poor outcomes.

AI is enabling healthcare workers to understand people’s moods with a level of accuracy that may be as unnerving as it is exciting.

Following total hip replacement, patients are well-served with AI-powered biofeedback that helps them rehab safely and effectively at home with occasional monitoring by a remote physical therapist.

A little over a quarter of cardiologists report feeling burned out on the job—something that’s increasingly recognized as a barrier to quality healthcare—according to a recent survey from the American College of Cardiology.

A junior doctor in the U.K. is driving the development of a smartphone app that lets healthcare providers jettison their legacy pagers to communicate just as quickly but much more thoroughly and productively.

More adults are utilizing voice assistant devices powered by AI to help with their medication management, but not all devices are the same. According to new research published in Nature, Google Assistant outpaces its peers, including Amazon’s Alexa and Apple’s Siri voice assistants.

The Joint Commission and American Heart Association will start accepting applications for two new heart attack programs July 1, including the Acute Heart Attack Ready and Primary Heart Attack Center certifications.

The Financial Times of London is calling for caution—along with standardized and modernized regulation—around AI in healthcare.