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.

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.

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

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.

While most of the action around healthcare AI beyond the U.S.’s southern border has so far been in research, tech-focused startup companies based in Mexico have been popping up to push things forward with entrepreneurial energy.

Patients covered by CNA Insurance for long-term care will be getting reminders to take their medications via an AI-based app supplied by Groove Health.

Terason, a portable ultrasound manufacturer based in Massachusetts, is partnering with DiA Imaging Analysis, which is headquartered in Israel, to bring AI to healthcare providers using Terason machines for heart imaging.