Minor disruptions in routine can cause serious setbacks in individuals with learning challenges and other neurological disabilities. The time may be ripe for combining AI with chaos theory to predict effects and outcomes.

As the Trump administration pushes forth plans to make electronic health records accessible through apps, medical organizations are pushing back, citing privacy concerns, according to The New York Times.

Duke University researchers have used AI to boost the resolution of optical coherence tomography (OCT) to improve medical images across fields, from cardiology to oncology. Their findings were recently published in nature photonics.

CMS is updating its Medicare Plan Finder for the first time in a decade.

Blockchain may be a future solution for the FDA to leverage medical recalls.

HHS will provide $23 million to drug manufacturer Merck to produce Ebola vaccine doses over the next year, the agency announced Aug. 21. 

Overall health status may soon be measurable by applying AI to electrocardiogram data, according to a journal from the American Heart Association, Circulation: Arrhythmia and Electrophysiology.

Urinary tract infections make up a significant portion of microbiological screening in diagnostic laboratories, yet nearly two-thirds of samples come up negative. But AI has the potential to improve the process by reducing the number of query samples and enabling diagnostic services to concentrate on those that many have actual infections.