Evidence map›Paper›PMID 34790008›Full record

ReviewWorld journal of gastroenterology2021

Artificial intelligence in gastroenterology: A state-of-the-art review.

Paul T Kröner, Megan Ml Engels, Benjamin S Glicksberg, Kipp W Johnson, Obaie Mzaik, Jeanin E van Hooft, Michael B Wallace, Hashem B El-Serag, Chayakrit Krittanawong

Registry-linked trialAbstract readReview
In one paragraph

Review in World journal of gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05734820 (Real-time Computer-aided Polyp/Adenoma Detection During Screening Colonoscopy), which is not on this map. Cited by 91 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05734820 naunknown statusnot on this map

Real-time Computer-aided Polyp/Adenoma Detection During Screening Colonoscopy: a Single-center Crossover Trial

TypeinterventionalSponsorInstituto Ecuatoriano de Enfermedades DigestivasRan2020 to 2024Enrolled312ConditionsColorectal Polyp, Colorectal Cancer, Colorectal AdenomaArmsHD- colonoscopy, HD-colonoscopy assisted by AI
3 · Its place in the literature

Who cites it

91 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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31 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Paul T KrönerDivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL 32224, United States.
Megan Ml EngelsDivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL 32224, United States.
Benjamin S GlicksbergThe Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Kipp W JohnsonThe Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, United States.
Obaie MzaikDivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL 32224, United States.
Jeanin E van HooftDepartment of Gastroenterology and Hepatology, Leiden University Medical Center, Amsterdam 2300, The Netherlands.
Michael B WallaceDivision of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, FL 32224, United States.
Hashem B El-SeragSection of Gastroenterology and Hepatology, Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, TX 77030, United States.
Chayakrit KrittanawongSection of Health Services Research, Michael E. DeBakey VA Medical Center and Baylor College of Medicine, Houston, TX 77030, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of artificial intelligence (AI) has increased dramatically in the last 20 years, with clinical applications progressively being explored for most of the medical specialties. The field of gastroenterology and hepatology, substantially reliant on vast amounts of imaging studies, is not an exception. The clinical applications of AI systems in this field include the identification of premalignant or malignant lesions (

Indexed as

Barrett EsophagusGastroenterologyArtificial IntelligenceDiagnostic ImagingEndoscopyHumansArtificial intelligenceClinical applicationsDeep learningGastroenterologyMachine learning

Identifiers

PMID34790008
PMCPMC8567482

What OpenQuestion holds

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Registered trials

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.