Machine learning (ML) technology has gained popularity in recent years, but its use in healthcare remains largely limited to proof-of-concept academic studies, according to a new study published in Artificial Intelligence in Medicine.

Researchers have developed a deep learning system capable of evaluating tissue samples and diagnosing prostate cancer at a level comparable with many pathologists.

AI continues to be one of the hottest topics in all of healthcare, especially radiology, and more academic researchers are exploring the subject than ever before.

Machine learning can play a key role in planning treatment for patients diagnosed with major depressive disorder (MDD), according to new research published in JAMA Network Open.

Psychiatrists are skeptical AI will have a significant impact on the way mental health is treated around the world, according to new survey results published in Artificial Intelligence in Medicine.

AI in Healthcare spent 2019 tracking the steady evolution of AI and other advanced technologies, paying close attention to how they could change patient care forever. We’ve gathered 10 of the site’s most popular—and compelling—articles from the past 12 months.

Machine learning (ML) can predict a patient’s long-term risk of myocardial infarction (MI) or cardiac death, according to new findings published in Cardiovascular Research.

Researchers have had limited success developing a genomic risk score (GRS) that can predict stroke. Could machine learning be the answer?