Evidence map›Paper›PMID 40182594›Full record

ArticleWorld journal of gastroenterology2025

Facing the challenges of autoimmune pancreatitis diagnosis: The answer from artificial intelligence.

You-Han Zhang, Ai-Qiao Fang, Hui-Yun Zhu, Yi-Qi Du

Abstract readLetter
PubMed Full text at PMC Publisher
In one paragraph

Article in World journal of gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

You-Han ZhangDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China.
Ai-Qiao FangDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China.
Hui-Yun ZhuDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China. zhuhuiyun0205@qq.com.
Yi-Qi DuDepartment of Gastroenterology, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current diagnosis of autoimmune pancreatitis (AIP) is challenging and often requires combining multiple dimensions. There is a need to explore new methods for diagnosing AIP. The development of artificial intelligence (AI) is evident, and it is believed to have potential in the clinical diagnosis of AIP. This article aims to list the current diagnostic difficulties of AIP, describe existing AI applications, and suggest directions for future AI usages in AIP diagnosis.

Indexed as

Artificial IntelligenceAutoimmune PancreatitisDiagnosis, DifferentialHumansPancreasArtificial intelligenceAutoimmune pancreatitisDeep learningDiagnosisMachine learning

Identifiers

PMID40182594
PMCPMC11962844

What OpenQuestion holds

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Registered trials

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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.