Evidence map›Paper›PMID 34345816›Full record

ReviewTherapeutic advances in gastrointestinal endoscopy

Artificial intelligence in inflammatory bowel disease endoscopy: current landscape and the road ahead.

Suneha Sundaram, Tenzin Choden, Mark C Mattar, Sanjal Desai, Madhav Desai

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in gastrointestinal endoscopy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 16 citations in OpenAlex.

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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

5 authors at 4 institutions in 1 country.

Suneha SundaramDepartment of Gastroenterology, Kansas City VA Medical Center, Kansas City, MO, USA.ORCID https://orcid.org/0000-0001-6774-5451
Tenzin ChodenDivision of Gastroenterology, Department of Medicine, MedStar Georgetown University Hospital, Washington, DC, USA.
Mark C MattarDivision of Gastroenterology, Department of Medicine, MedStar Georgetown University Hospital, Washington, DC, USA.
Sanjal DesaiDepartment of Hematology, Mayo Clinic, Rochester, MN, USA.
Madhav DesaiAssistant Professor of Clinical Medicine, University of Kansas School of Medicine, Kansas City VA Medical Center, 4801 Linwood Blvd, Kansas City, MO 64128, USA.ORCID https://orcid.org/0000-0001-8871-3627
Georgetown University · USKansas City VA Medical Center · USMayo Clinic in Arizona · USUniversity of Kansas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammatory bowel disease is a complex chronic inflammatory disorder with challenges in diagnosis, choosing appropriate therapy, determining individual responsiveness, and prediction of future disease course to guide appropriate management. Artificial intelligence has been examined in the field of inflammatory bowel disease endoscopy with promising data in different domains of inflammatory bowel disease, including diagnosis, assessment of mucosal activity, and prediction of recurrence and complications. Artificial intelligence use during endoscopy could be a step toward precision medicine in inflammatory bowel disease care pathways. We reviewed available data on use of artificial intelligence for diagnosis of inflammatory bowel disease, grading of severity, prediction of recurrence, and dysplasia detection. We examined the potential role of artificial intelligence enhanced endoscopy in various aspects of inflammatory bowel disease care and future perspectives in this review.

Indexed as

artificial intelligenceendoscopyinflammatory bowel disease

Identifiers

PMID34345816
PMCPMC8283211
OpenAlexW3183550816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.