Evidence map›Paper›PMID 41739329›Full record

ArticleDigestive diseases and sciences2026

External Validation of an AI-Based Colonoscopy Quality Assessment Tool in Japanese Clinical Practice: A Pilot Study.

Hiroaki Saito, Evandros Kalamanos, Kristjana Kristinsdottir, Matthew Wittbrodt, Satoshi Ito, Hidetaka Hamamoto, Yoshika Saito, John E Pandolfino, Rajesh N Keswani, Mozziyar Etemadi and 1 more

Abstract readValidation Study
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In one paragraph

Article in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Hiroaki SaitoDepartment of Gastroenterology, Sendai Kousei Hospital, 1-20, Tsutsumidoriamamiyamachi, Aoba-ku, Sendai, Miyagi, 9800873, Japan. h.saito0515@gmail.com.
Evandros KalamanosResearch and Development, Department of Information Services, Northwestern Medicine, Chicago, IL, USA.
Kristjana KristinsdottirResearch and Development, Department of Information Services, Northwestern Medicine, Chicago, IL, USA.
Matthew WittbrodtResearch and Development, Department of Information Services, Northwestern Medicine, Chicago, IL, USA.
Satoshi ItoDepartment of Gastroenterology, Sendai Kousei Hospital, 1-20, Tsutsumidoriamamiyamachi, Aoba-ku, Sendai, Miyagi, 9800873, Japan.
Hidetaka HamamotoDepartment of Gastroenterology, Sendai Kousei Hospital, 1-20, Tsutsumidoriamamiyamachi, Aoba-ku, Sendai, Miyagi, 9800873, Japan.
Yoshika SaitoDepartment of Gastroenterology, Sendai Kousei Hospital, 1-20, Tsutsumidoriamamiyamachi, Aoba-ku, Sendai, Miyagi, 9800873, Japan.
John E PandolfinoDivision of Gastroenterology and Hepatology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Rajesh N KeswaniDivision of Gastroenterology and Hepatology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Mozziyar EtemadiResearch and Development, Department of Information Services, Northwestern Medicine, Chicago, IL, USA.
Tomoki MatsudaDepartment of Gastroenterology, Sendai Kousei Hospital, 1-20, Tsutsumidoriamamiyamachi, Aoba-ku, Sendai, Miyagi, 9800873, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile AI-assisted polyp detection has advanced significantly, comprehensive AI-based colonoscopy quality assessment tools remain limited. This study aimed to externally validate an AI-based colonoscopy quality assessment tool (AI-CQ) in Japanese clinical practice.

methodsThis retrospective study analyzed 40 screening colonoscopy procedures at a tertiary endoscopy hospital in Japan. All videos were recorded using Olympus equipment from anal insertion to complete withdrawal. AI-CQ measurements were compared with manual assessments by a certified endoscopist. Metrics evaluated included insertion time (IT), withdrawal time (WT), withdrawal time minus polypectomy time, and high-quality withdrawal time (HQ-WT).

resultsAI-CQ successfully identified cecal intubation in 97.5% of cases. Correlations between manual and AI measurements were moderate for IT (ρ = 0.48, p = 0.0025) and strong for WT (ρ = 0.70, p < 0.001). HQ-WT differed significantly by endoscopist experience (388 vs. 273 s, p = 0.025) and polyp detection status (497 vs. 298 s, p < 0.001). These associations remained significant even after adjusting for manual polyp observation time.

conclusionAI-CQ demonstrated feasibility for measuring colonoscopy quality metrics in Japanese practice, though with reduced correlation compared to US validation. Given the pilot nature of this study, these findings should be interpreted as exploratory. Novel metrics like HQ-WT showed promising associations with procedural quality indicators, warranting further validation in larger cohorts.

Indexed as

Artificial IntelligenceColonic PolypsColonoscopyQuality Assurance, Health CareAgedEast Asian PeopleFemaleHumansJapanMaleMiddle AgedPilot ProjectsReproducibility of ResultsRetrospective StudiesArtificial intelligenceColonoscopyQuality assurance

Identifiers

PMID41739329

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.