Imaging experts performed a hypothetical health technology assessment for their investigation, using a conservative 6% estimated rate of missed diagnoses. 

By comparison, more than 20% ranked radiology as their first choice when not considering AI's potential impact on the specialty.

Researchers have demonstrated the feasibility of AI-based smartphone interventions for young people who have attempted suicide and may try again.

If AI for medical diagnostics is to lift the health status of populations—and thus fulfill its implicit global promise—it’s going to need stronger regulatory guidance than it’s gotten to date. 

Clinicians opted to use the AI tool nearly 60% of the time compared to directly searching for structured exam indications in 41% of cases.

Such exams are crucial for determining children’s developmental status but can be time consuming and tedious for physicians, experts wrote in Radiology. 

Machine learning can deliver an objective appraisal of cosmetic surgery’s success at making aging faces appear younger and happier, according to Mayo Clinic researchers.

Researchers have used machine learning to track diabetes at the population level.