Artificial Intelligence for Diagnosing G.I. Tract Lesions

Daljeet Chahal, Neal Shahidi & Michael F. Byrne

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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Vessel and tissue recognition during third-space endoscopy using a deep learning algorithm

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Artificial intelligence for identification and characterization of colonic polyps