Abstract
Artificial intelligence (AI) has emerged as a powerful tool to aid endoscopists in the diagnosis of benign and malignant gastrointestinal (GI) lesions. Herein, we will discuss how AI is being used to detect and characterize gastrointestinal lesions and assess malignant lesion depth of invasion, as well as its application in capsule endoscopy and inflammatory bowel disease. We will briefly touch on the challenges of incorporating AI into clinical practice, including workflow integration, data storage, data privacy, and technology regulation.
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Conflicts of Interest
Daljeet Chahal and Neal Shahidi: No conflicts of interest to disclose.
Michael F. Byrne: CEO and shareholder, Satisfai Health; founder of AI4GI joint venture. Co-development agreement between Olympus America and AI4GI in Artificial intelligence and colorectal polyps.
Author Contributions
Drafting of the manuscript: Daljeet Chahal; Critical revision of the manuscript for important intellectual content: Neal Shahidi, Michael F. Byrne. Final manuscript approval: Michael F. Byrne.
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Chahal, D., Shahidi, N., Byrne, M.F. (2021). Artificial Intelligence for Diagnosing G.I. Tract Lesions. In: Testoni, P.A., Inoue, H., Wallace, M.B. (eds) Gastrointestinal and Pancreatico-Biliary Diseases: Advanced Diagnostic and Therapeutic Endoscopy. Springer, Cham. https://doi.org/10.1007/978-3-030-29964-4_31-1
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DOI: https://doi.org/10.1007/978-3-030-29964-4_31-1
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