Evidence map›Paper›PMID 31945357›Full record

ArticleGastroenterology2020

Use of Artificial Intelligence-Based Analytics From Live Colonoscopies to Optimize the Quality of the Colonoscopy Examination in Real Time: Proof of Concept.

Shyam Thakkar, Neil M Carleton, Bharat Rao, Aslam Syed

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.5field-weighted citation impact, top 9% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 47 citations in OpenAlex.

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  4. [Role of Artificial Intelligence in Improving Quality of Colonoscopy].The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi · 2025
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  17. Artificial intelligence in gastrointestinal endoscopy.VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy · 2020
    Article
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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

4 authors at 1 institution in 1 country.

Shyam ThakkarDivision of Gastroenterology, Allegheny Health Network, Pittsburgh, Pennsylvania; Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania. Electronic address: Shyam.Thakkar@AHN.org.
Neil M CarletonDivision of Gastroenterology, Allegheny Health Network, Pittsburgh, Pennsylvania; Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania.
Bharat RaoDivision of Gastroenterology, Allegheny Health Network, Pittsburgh, Pennsylvania.
Aslam SyedDivision of Gastroenterology, Allegheny Health Network, Pittsburgh, Pennsylvania.
Allegheny Health Network · US

Funding

TRAINING PROGRAM FOR MD/PHD STUDENTST32GM008208 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMAN, RICHARD A · 1987 to 2021
$15.4M
NIGMS NIH HHS T32 GM008208
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningColonColonoscopyColorectal NeoplasmsDatasets as TopicHumansImage Interpretation, Computer-AssistedMass ScreeningProof of Concept StudyProspective StudiesRectum

Identifiers

PMID31945357
PMCPMC7103545
OpenAlexW3000643822

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.