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Current Gastroenterology Reports

Erschienen in:

01.05.2021 | ENDOSCOPY AND SURGERY (S KOMANDURI, SECTION EDITOR)

State of the Art: The Impact of Artificial Intelligence in Endoscopy 2020

verfasst von: Jiyoung Lee, Michael B. Wallace

Erschienen in: Current Gastroenterology Reports | Ausgabe 5/2021

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Abstract

Purpose of Review

Recently numerous researchers have shown remarkable progress using convolutional neural network-based artificial intelligence (AI) for endoscopy. In this manuscript we aim to summarize recent AI impact on endoscopy.

Recent Findings

AI for detecting colon polyps has been the most promising area for application of AI in endoscopy. Recent prospective randomized studies showed that AI assisted colonoscopy increased adenoma detection rate and the mean number of adenomas per patient compared to standard colonoscopy alone. AI for optical biopsy of colon polyp showed a negative predictive value of ≥90%. For capsule endoscopy, applying AI to pre-read the video images decreased physician reading time significantly. Recently, researchers are broadening the area of AI to quality assessment of endoscopy such as bowel preparation and automated report generation.

Summary

AI systems have shown great potential to increase physician performance by enhancing detection, reducing procedure time, and providing real-time feedback of endoscopy quality. To build a generally applicable AI, we need further investigations in real world settings and also integration of AI tools into pragmatic platforms.

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Titel: State of the Art: The Impact of Artificial Intelligence in Endoscopy 2020
verfasst von: Jiyoung Lee
Michael B. Wallace
Publikationsdatum: 01.05.2021
Verlag: Springer US
Erschienen in: Current Gastroenterology Reports / Ausgabe 5/2021
Print ISSN: 1522-8037
Elektronische ISSN: 1534-312X
DOI: https://doi.org/10.1007/s11894-021-00810-9

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