Artificial Intelligence-Aided Colonoscopy Does Not Increase Adenoma Detection Rate in Routine Clinical Practice

Idan Levy, Liora Bruckmayer, Eyal Klang, Shomron Ben-Horin, Uri Kopylov

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

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%, P < 0.001; 36.5% vs 40.9%, P = 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.

Original languageEnglish
Pages (from-to)1871-1873
Number of pages3
JournalAmerican Journal of Gastroenterology
Volume117
Issue number11
DOIs
StatePublished - 1 Nov 2022
Externally publishedYes

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