Evidence map›Paper›PMID 41235291›Full record

ReviewCureus2025

Artificial Intelligence in Upper Gastrointestinal Endoscopy: Current Evidence, Practice, and Future Directions.

Ahmed Alemam, Rezuana Tamanna, Mohamed Ali, Nazeer Ibraheem, Ahmed Swealem

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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.

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

1 citing paper in PubMed.

  1. Review
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.

Ahmed AlemamGeneral Surgery, Leicester Royal Infirmary, University Hospitals of Leicester, Leicester, GBR.
Rezuana TamannaGeneral Surgery, Craigavon Area Hospital, Craigavon, IRL.
Mohamed AliSurgery, Hywel Dda University Health Board, Carmarthen, GBR.
Nazeer IbraheemUrology, New Cross Hospital, The Royal Wolverhampton NHS Trust, Wolverhampton, GBR.
Ahmed SwealemOrthopedics, Southmead Hospital, North Bristol NHS Foundation Trust, Bristol, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial intelligence (AI) is advancing upper gastrointestinal endoscopy (UGIE), ranging from manual, variable workflows to assisted, quality-controlled examinations. Computer-aided detection (CADe) and diagnosis (CADx) systems can help in identifying anatomy, reducing blind spots, and shifting random biopsies toward targeted sampling. Across Barrett's neoplasia, esophageal squamous cell carcinoma, early gastric cancer, and

Indexed as

aiartificial intelligencecadeesophageal neoplasiagastric cancerhelicobacter pyloriupper git endoscopy

Identifiers

PMID41235291
PMCPMC12607239

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.