Reported today in Nature Microbiology, the team was led by a professor now at the University of Michigan.
Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine (UMSOM) researchers found that most did not include patient demographics.
A new study published in JAMA Internal Medicine led by Dr. John W. Ayers from the Qualcomm Institute within the University of California San Diego provides an early glimpse into the role that AI assistants could play in medicine.