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.
A significant proportion of parents delayed or put off healthcare visits and care for their children during the Covid-19 pandemic, according to a new report from the Urban Institute and the Robert Wood Johnson Foundation.
Researchers are using AI to predict which mammals are hosts of new coronavirus diseases, potentially identifying and predicting new outbreaks before they become deadly in the future.
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.
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.
Transitioning to fully electronic transactions could save the healthcare industry $16.3 billion, or about 42% of existing annual spend on administrative transactions.
