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AI colonoscopy
The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists’ perceptions thereof
Sarah Tham, Frederick H. Koh, Jasmine Ladlad, Koy-Min Chue, SKH Endoscopy Centre, Cui-Li Lin, Eng-Kiong Teo, Fung-Joon Foo
Ann Coloproctol. 2023;39(5):385-394.   Published online March 10, 2023
DOI: https://doi.org/10.3393/ac.2022.00878.0125
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AbstractAbstract PDF
The development of deep learning systems in artificial intelligence (AI) has enabled advances in endoscopy, and AI-aided colonoscopy has recently been ushered into clinical practice as a clinical decision-support tool. This has enabled real-time AI-aided detection of polyps with a higher sensitivity than the average endoscopist, and evidence to support its use has been promising thus far. This review article provides a summary of currently published data relating to AI-aided colonoscopy, discusses current clinical applications, and introduces ongoing research directions. We also explore endoscopists’ perceptions and attitudes toward the use of this technology, and discuss factors influencing its uptake in clinical practice.

Citations

Citations to this article as recorded by  
  • New Concept of Colonoscopy Assisted by a Microwave-Based Accessory Device: First Clinical Experience
    Oswaldo Ortiz, Oriol Sendino, Silvia Rivadulla, Alejandra Garrido, Luz María Neira, Josep Sanahuja, Pilar Sesé, Marta Guardiola, Glòria Fernández-Esparrach
    Cancers.2025; 17(7): 1073.     CrossRef
  • Deep learning model for gastrointestinal polyp segmentation
    Zitong Wang, Zeyi Wang, Pengyu Sun
    PeerJ Computer Science.2025; 11: e2924.     CrossRef
  • Does AI have utility in medical student surgical education? A comparative analysis of chatbots in answering standardized surgical multiple-choice questions
    Natalia DaFonte, Angelo Cadiente, Catherine Implicito, Natasha Becker, Burton Surick
    Global Surgical Education - Journal of the Association for Surgical Education.2025;[Epub]     CrossRef
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