When Josh Gluck joined Pure Storage this past April, he arrived well-acquainted with the most pressing data-management issues affecting healthcare IT leaders today. 

Artificial intelligence (AI) is proving valuable across the healthcare spectrum—from helping radiologists screen for disease to predicting difficulties during surgery. Researchers now hope the cutting-edge technology could safeguard public health by monitoring large-scale water treatment operations.

An artificial intelligence (AI) system defeated a team of 15 doctors, 2-0, in two rounds of a competition that looked at the ability to diagnose brain tumors and predict the expansion of brain hematomas.

A deep-learning software that can automatically calculate left ventricular ejection fraction (LVEF) with less variability than a cardiologist recently received approval from the U.S. Food and Drug Administration (FDA).

It’s long past asking “if” artificial intelligence (AI) and related technologies will revolutionize healthcare. According to a recent survey, 80 percent of executives expect AI will be integrated into the patient experience within two years. At the same time, 81 percent of respondents agree their organizations are not ready for the societal and liability issues that will result from this change.

The American Medical Association (AMA) has passed a policy addressing "augmented intelligence"—and not "artificial intelligence"—that provides recommendations for stakeholders' concerns.

Researchers from the New York University Rory Meyers College of Nursing have found machine learning using real-time symptom reports to be accurate in identifying lymphedema early in breast cancer patients. Findings were published in the May 2018 issue of mHealth.

Artificial intelligence (AI) in medical devices may lead to breakthroughs for self-management in patients with diabetes, according to a study published May 31 in the Journal of Medical Internet Research.