Around 29% of cardiologists are burned out in contemporary practice, according to Medscape’s Cardiologist Lifestyle, Happiness & Burnout Report 2020—but the majority haven’t sought professional help for burnout and don’t plan to.

Researchers have used AI technology to predict a patient’s chance of death, heart attack or stroke better than human doctors, sharing their findings in a new study in Circulation.

Novel coronavirus, also known as Covid-19, has killed more than 1,300 people and infected upwards of 47,000, according to the World Health Organization.

AI models can be trained to predict outcomes in meningioma patients, according to new research published in npj Digital Medicine. The study’s authors even developed a free smartphone app so others can explore their work.

AI promises to make a titanic impact on radiology, but most of the attention tends to focus on its ability to identify important findings in medical images. What about the technology’s non-interpretive qualities?

Researchers have found they can use microbe samples—and a little help from machine learning techniques—to predict someone’s age.

XRHealth has announced the launch of a new telehealth clinic that allows patients to receive care at home via virtual reality (VR) technology.

Machine learning-based algorithms can predict how patients will respond to antidepressants, according to new research published in Nature Biotechnology. The secret, the authors revealed, is electroencephalography (EEG) data.