Evidence map›Paper›PMID 39568702›Full record

ArticleAnnals of gastroenterology

Use of artificial intelligence for the detection of

Om Parkash, Abhishek Lal, Tushar Subash, Ujala Sultan, Hasan Nawaz Tahir, Zahra Hoodbhoy, Shiyam Sundar, Jai Kumar Das

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of gastroenterology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Role of artificial intelligence in gastric diseases.World journal of gastroenterology · 2025
    Review
  5. Artificial Intelligence in Upper Gastrointestinal Diagnosis.The Korean journal of helicobacter and upper gastrointestinal research · 2025
    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

8 authors.

Om ParkashSection of Gastroenterology, Department of Medicine (Om Parkash, Abhishek Lal, Tushar).
Abhishek LalSection of Gastroenterology, Department of Medicine (Om Parkash, Abhishek Lal, Tushar).
Tushar SubashMedical College (Subash, Ujala Sultan).
Ujala SultanMedical College (Subash, Ujala Sultan).
Hasan Nawaz TahirDepartment of Community Health Sciences (Hasan Nawaz Tahir, Shiyam Sundar).
Zahra HoodbhoyDepartment of Paediatrics and Child Health (Zahra Hoodbhoy, Jai Kumar Das), The Aga Khan University, Karachi, Pakistan.
Shiyam SundarDepartment of Community Health Sciences (Hasan Nawaz Tahir, Shiyam Sundar).
Jai Kumar DasDepartment of Paediatrics and Child Health (Zahra Hoodbhoy, Jai Kumar Das), The Aga Khan University, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Three investigators searched the PubMed, CINHAL and Cochrane databases for studies that compared AI algorithms with endoscopic histopathology for diagnosing Results: A total of 11 studies were identified that met our inclusion criteria. All were conducted in different countries based in Asia. Our meta-analysis showed that AI had high sensitivity (0.93, 95% confidence interval [CI] 0.90-0.95), specificity (0.92, 95%CI 0.89-0.94), and accuracy (0.92, 95%CI 0.90-0.94) for detecting Conclusion: This systematic review and meta-analysis showed that AI had high diagnostic accuracy for detecting

Indexed as

Artificial intelligencedeep learningendoscopyHelicobacter pylorimachine learning

Identifiers

PMID39568702
PMCPMC11574149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.