Medical Xpress May 20, 2025
Radiologists, computer scientists and informaticists outline pitfalls and best practices to mitigate bias in artificial intelligence (AI) models in an article published today in Radiology.
“AI has the potential to revolutionize radiology by improving diagnostic accuracy and access to care,” said lead author Paul H. Yi, M.D., associate member (associate professor) in the Department of Radiology and director of Intelligent Imaging Informatics at St. Jude Children’s Research Hospital in Memphis, Tennessee. “However, AI algorithms can sometimes exhibit biases, unintentionally disadvantaging certain groups based on age, sex or race.”
While there is growing awareness of this issue, there are challenges associated with the evaluation and measurement of algorithmic bias.
In the article, Dr. Yi and colleagues identify key areas where pitfalls...
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