Radiologists, computer scientists and informaticists outline pitfalls and best practices to mitigate bias in AI models in an article published in Radiology.
“AI has the potential to revolutionize radiology by improving diagnostic accuracy and access to care,” said lead author Paul H. Yi, MD, associate member (associate professor) in the Department of Radiology and director of Intelligent Imaging Informatics at St. Jude Children’s Research Hospital in Memphis, TN….
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https://www.rsna.org/news/2025/may/tips-to-prevent-ai-bias