An AI decision aid significantly improved decision quality, level of shared decision-making, patient satisfaction and functional outcomes in patients compared to an education-only approach, according to a new study in JAMA.
The reported exploration to sell Watson Health, the AI-driven health business of IBM, underscores deep challenges with technology in solving healthcare problems, according to the Wall Street Journal.
International Business Machines Corp. is looking into dealing its AI-pioneering Watson Health unit so the parent can move more nimbly into cloud computing, the Wall Street Journal is reporting.
AI can be taught to flag possible skin cancers on photos taken with smartphone cameras—and the images can be ordinary “people shots” rather than closeups of suspicious lesions.
An AI startup’s virtual-patient technology is good enough at teaching empathy to clinicians that it’s already in use at Cedars-Sinai Medical Center in Los Angeles, the National Health Service in Britain and the University of Texas Medical Branch in Galveston.
The investigation was retrospective, but Duke scientists believe their algorithm could potentially aid radiologists in spotting near-misses in their work.
Only two of 34 representative studies evaluating the use of AI for real-world shared clinical decisionmaking from 2014 to 2020 included external validation of the models up for consideration.
Healthcare AI is advancing too quickly for its users to fully comprehend the implications of its design, development and applications, according to bioethics specialists who scanned the literature.
