Patients and healthcare providers both see potential in AI’s ability to improve healthcare. Patients, however, appear to trust AI technology more than providers.

Patients can now use AI to monitor their glucose levels with off-the-shelf, noninvasive wearable sensors, according to a new study published in Scientific Reports.

Radiomics and machine learning can help healthcare providers determine if late gadolinium enhancement (LGE) on cardiac MR images is a sign of myocardial infarction (MI) or myocarditis.

Researchers have found a new way to predict AI’s impact on the U.S. workforce: paying close attention to patents.

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.

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.