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03/02/26

An AI approach to differentiating lung squamous cell carcinoma from metastases of other origins.

Evans, Mark G; Ribeiro, Jennifer R; Maney, Todd; Helmstetter, Anthony; Johnson, Jennifer; Karnezis, Anthony N; Bales, Casey; Sledge, George W; Spetzler, David; Vanderwalde, Ari; Oberley, Matthew; Halmos, Balazs; Borghaei, Hossein; Abdulla, Farah; Bryant, David; Hirsch, Fred R; Ghani, Hassan. JAMA Netw Open.

Collection Topics
AI and Diagnosis Big Three Conditions Tests, Screening, and Laboratory Processes
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Summary

AI shows potential for improving accuracy in pathology. This cross-sectional study explores the use of AI as a screening tool to identify misdiagnoses in lung squamous cell carcinoma. Using a multipronged AI-assisted approach, the study found a meaningful number of misdiagnoses. These AI-identified diagnostic changes may help guide disease prediction and therapy selection, underscoring AI’s clinical promise.

Read the paper
Evans MG, Ribeiro JR, Maney T, et al. An AI approach to differentiating lung squamous cell carcinoma from metastases of other origins. JAMA Netw Open. 2026;9(3):e260908.