As of Sept. 23, the resource supplies device and company names, dates of FDA approvals and other details on some 343 devices.

Researchers have used machine learning to track diabetes at the population level.

AI developers have worked with experts in human-computer interaction to design an EHR that shows clinicians all information pertinent to the patient case they’re working on—and only that info.

AI should not be used to predict the course of clinical depression if all it has to work with are new patients’ medical records of past diagnoses, medications, encounters and patient-reported outcomes.

AI and machine learning are adept at selecting good candidates for total joint arthroplasty and predicting which patients will and won’t experience post-op complications.

The rate of harms to the mental and physical health of individuals who frequently use pornography is accelerating, and AI is playing a key role in driving porn addiction as well as “escalation to more violent material.”

Researchers have combined AI with a common camera and a laptop computer to virtually modernize older-tech pumps and monitors positioned at patients’ bedsides.

The field of mHealth applications to assist nonprofessional caregivers of Alzheimer’s patients is thin, weak and in need of innovators.