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Artificial Intelligence in Gastrointestinal Endoscopy

Clinical Endoscopy 2020년 53권 2호 p.132 ~ 141
Abadir Alexander P., Ali Mohammed Fahad, Karnes William, Samarasena Jason B.,
소속 상세정보
 ( Abadir Alexander P. ) - University of California Irvine Department of Medicine
 ( Ali Mohammed Fahad ) - University of California Irvine Department of Medicine
 ( Karnes William ) - University of California Irvine Department of Medicine
 ( Samarasena Jason B. ) - University of California Irvine Medical Center Division of Gastroenterology and Hepatology

Abstract


Artificial intelligence (AI) is rapidly integrating into modern technology and clinical practice. Although in its nascency, AI has become a hot topic of investigation for applications in clinical practice. Multiple fields of medicine have embraced the possibility of a future with AI assisting in diagnosis and pathology applications. In the field of gastroenterology, AI has been studied as a tool to assist in risk stratification, diagnosis, and pathologic identification. Specifically, AI has become of great interest in endoscopy as a technology with substantial potential to revolutionize the practice of a modern gastroenterologist. From cancer screening to automated report generation, AI has touched upon all aspects of modern endoscopy. Here, we review landmark AI developments in endoscopy. Starting with broad definitions to develop understanding, we will summarize the current state of AI research and its potential applications. With innovation developing rapidly, this article touches upon the remarkable advances in AI-assisted endoscopy since its initial evaluation at the turn of the millennium, and the potential impact these AI models may have on the modern clinical practice. As with any discussion of new technology, its limitations must also be understood to apply clinical AI tools successfully.

키워드

Artificial intelligence; Colonoscopy; Computer assisted diagnosis; Early detection of cancer; Endoscopy

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