The former quantifies the ability of the algorithm to separate individuals according to the presence or absence of a given outcome, and the latter measures how close the predicted probabilities are to ...

As Big Data tools reshape health care, biased datasets and unaccountable algorithms threaten to further disempower patients.

In this view of the future of medicine, patient–provider interactions are informed and supported by massive amounts of data from interactions with similar patients. These data are collected and ...

Machine learning has had a significant impact in many areas of science and technology, including life science and medical research.

According to a March perspective piece by three Stanford researchers in the New England Journal of Medicine, while there is tremendous potential for machine learning to aid in expanded electronic ...

Becker has pursued interdisciplinary research for years, working closely with Dr. Su-In Lee to develop machine-learning algorithms for identifying effective cancer treatments.

Many of these machine-learning–aided tasks have been largely accepted and incorporated into the everyday practice of medicine.

Machine learning, experts say, stands to empower doctors and benefit patients. But how will both respond to the idea of algorithms playing a bigger role in the medical system?

Attendees at the APS March Meeting heard about some of the latest medical applications of artificial intelligence and machine learning ...