Machine learning algorithms can be used to identify cancer patients at risk of short-term mortality, according to a new study published in JAMA Network Open. This helps providers plan for necessary conversations about end-of-life preferences.
A health-management company in Arizona is expanding its use of AI to detect risk factors in Medicare Advantage patients by scanning doctors’ notes to automatically flag patients who need additional reimbursable care.
VR is quickly becoming a new alternative to more traditional methods of pain management, NPR reported, with patients escaping their chronic pain by strapping on a VR headset and becoming immersed in a different reality.
Machine-learning analyses of satellite images can help identify communities needing healthcare services in some of the most remote parts of the planet, according to a study published Aug. 14 in the Journal of the American Medical Informatics Association.
When trained on routine health data and observation notes gathered by homecare aides, AI can be used to anticipate medical emergencies in the elderly one to two weeks ahead of an incident. The advance insights can both guide preventive care and save on unnecessary hospital and transportation costs.