Two major companies are joining forces in a 10-year strategic partnership to accelerate healthcare innovation through digital technologies.

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.

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.

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.

Intermountain Healthcare has opened an AI-powered service line for patients with chronic kidney disease and end-stage renal disease.

There’s still a long way to go with both research into Alzheimer’s disease and AI tools to help detect it, but deep-learning approaches continue to show promise for classifying the condition on images of the brain.

When patients and family members discuss end-of-life matters with professional caregivers, the silences between words can be as telling as the words themselves.