Pretrained Machine Learning Models May Help Accurately Diagnose Nonmelanoma Skin Cancer in Resource-limited Settings
University of Chicago Medical CenterArtificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in identifying nonmelanoma skin cancers (NMSC) from digital images of tissue samples, according to research presented at the American Association for Cancer Research (AACR) Annual Meeting, held April 25-30.