International investment firm Morgan Stanley believes odds are strong that Apple will become a major player in healthcare AI, according to an article published Sept. 16 in AppleInsider.

The chances of surviving oral cancer can now be predicted from AI algorithms by measuring immune cells in tumors.

Emerging technologies like AI and robotics have vast potential to improve healthcare. Few question this. What remains unclear is how meaningful the advances will be to healthcare providers and, more to the point, the patients they serve.

The Mayo Clinic has selected Google Cloud to anchor its digital development over the next 10 years.

Geisinger has tapped IBM’s AI expertise and come up with a way to predict hospital patients’ risk of sepsis. In the process, the method can increase chances of survival in those who have the tricky and potentially life-threatening condition.

GE Healthcare has received a green light from the FDA to market a product that embeds AI algorithms in mobile X-ray machines. The system sends an alert to a physician if it detects signs of a collapsed lung as soon as a chest X-ray image is acquired.

Looking to keep “compassion fatigued” call-center workers from growing increasingly insensitive to customers over the course of a workday, Humana’s mail-order pharmacy business has deployed AI-based software that sends reminders aimed at keeping the empathy consistent.

A single heartbeat is all a new neural-network technique needs to detect heart failure with 100% accuracy, according to a study slated for January 2020 publication in Biomedical Signal Processing and Control Journal.

Healthcare consumers see AI-delivered healthcare as standardized and therefore neglectful of patients’ individual needs, which is one reason they tend to be less accepting of healthcare delivered by AI than that provided by humans.

Advancing its interest in AI for smart homes, Google has filed a patent for AI technology that would monitor babies by tracking their vocalizations as well as their eye and body movements.

Researchers have developed a system combining AI and mHealth to catch signs of impending suicidal behavior in time for interventions by caregivers.

An AI-based smartphone app for detecting cancer in skin lesions has proven quite capable, achieving 95.1% sensitivity.