Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice
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- Idan Levy
- Department of Gastroenterology, Sheba Medical Center, Ramat Gan and Tel Aviv University School of Medicine, Israel;
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- Liora Bruckmayer
- Department of Internal Medicine D, Sheba Medical Center, Ramat Gan and Tel Aviv University School of Medicine, Israel;
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- Eyal Klang
- Department of Diagnostic Imaging, Sheba Medical Center, Ramat Gan and Tel Aviv University School of Medicine, Israel.
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- Shomron Ben-Horin
- Department of Gastroenterology, Sheba Medical Center, Ramat Gan and Tel Aviv University School of Medicine, Israel;
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- Uri Kopylov
- Department of Gastroenterology, Sheba Medical Center, Ramat Gan and Tel Aviv University School of Medicine, Israel;
説明
<jats:p>The performance of artificial intelligence-aided colonoscopy (AIAC) in a real-world setting has not been described. We compared adenoma and polyp detection rates (ADR/PDR) in a 6-month period before (pre-AIAC) and after introduction of AIAC (GI Genius, Medtronic) in all endoscopy suites in our large-volume center. The ADR and PDR in the AIAC group was lower compared with those in the pre-AIAC group (30.3% vs 35.2%, <jats:italic toggle="yes">P</jats:italic> < 0.001; 36.5% vs 40.9%, <jats:italic toggle="yes">P</jats:italic> = 0.004, respectively); procedure time was significantly shorter in the AIAC group. In summary, introduction of AIAC did not result in performance improvement in our large-center cohort, raising important questions on AI-human interactions in medicine.</jats:p>
収録刊行物
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- American Journal of Gastroenterology
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American Journal of Gastroenterology 117 (11), 1871-1873, 2022-08-23
Ovid Technologies (Wolters Kluwer Health)
