The use of AI in healthcare is rapidly rising, but healthcare providers remain an absolutely essential part of patient care, according to a new analysis published in CMAJ.

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.

The White House has proposed a new set of principles for governing the development of AI solutions throughout the United States.

Machine learning can help physicians exclude the presence of obstructive coronary artery disease (CAD) in patients once they undergo coronary artery calcium scoring (CACS), according to new research published in Academic Radiology. Could this help limit unnecessary imaging examinations?

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.

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.

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

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.

Eko, a San Francisco-based healthcare technology company, announced that its ECG-based algorithm for heart failure has been granted a Breakthrough Device designation by the FDA.

Machine learning (ML) algorithms can evaluate cardiac MR (CMR) images and provide accurate measurements of left ventricular (LV) volumes from throughout the patient’s cardiac cycle, according to a new study published in Magnetic Resonance Imaging.

Machine learning models can be trained to predict chronic diseases such as dementia using electronic medical record (EMR) data, according to a new study published in Artificial Intelligence in Medicine.

Oncopole, a Montreal-based research center, announced that five teams won the Onco-Tech Competition and will receive a total of $1.97 ($2.6 million CAD) in funding.