Evidence map›Paper›PMID 41114471›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

AI-Assisted Detection of Early Gastric Cancer via Visualization of Mucosal Acidity Compromise During Endoscopy.

Huihui Yan, Zongkuo Li, Jing Zhao, Lei Su, Ziyi Jin, Weiyi Zhao, Rong Duan, Suhongrui Zhou, Lingling Wang, Jianshan Mao and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Dyspepsia followingWorld journal of gastroenterology · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. 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

19 authors.

Huihui YanDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Zongkuo LiDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Jing ZhaoSchool of Pharmaceutical Sciences, Fudan University, MOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, State Key Laboratory of Medical Neurobiology, Shanghai, 201203, China.
Lei SuCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Ziyi JinSchool of Pharmaceutical Sciences, Fudan University, MOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, State Key Laboratory of Medical Neurobiology, Shanghai, 201203, China.
Weiyi ZhaoDepartment of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Rong DuanDepartment of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Suhongrui ZhouSchool of Pharmaceutical Sciences, Fudan University, MOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, State Key Laboratory of Medical Neurobiology, Shanghai, 201203, China.
Lingling WangDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Jianshan MaoDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Xinliang LuDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Weihao GaiCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Yang DuCAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China.
Qin DuDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Cheng FangDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Yiming ZhaoDepartment of Child Healthcare, Jiangbei District Maternal and Child Health and Family Planning Service Center, Ningbo, 315020, China.
Yan YouSchool of Pharmaceutical Sciences, Fudan University, MOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, State Key Laboratory of Medical Neurobiology, Shanghai, 201203, China.
Jianting CaiDepartment of Gastroenterology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, China.
Cong LiSchool of Pharmaceutical Sciences, Fudan University, MOE Key Laboratory of Smart Drug Delivery, MOE Innovative Center for New Drug Development of Immune Inflammatory Diseases, State Key Laboratory of Medical Neurobiology, Shanghai, 201203, China.ORCID https://orcid.org/0000-0001-7731-8031

Funding

Beijing Natural National Science Foundation 7252292National Natural Science Foundation of China 82073160National Natural Science Foundation of China 82227806National Natural Science Foundation of China 82272111National Natural Science Foundation of China 92159303National Natural Science Foundation of China 92159304National Natural Science Foundation of China U24A20731National Science Fund for Distinguished Young Scholars 82025019Natural Science Foundation of Zhejiang Province LQ21H160023Natural Science Foundation of Zhejiang Province LY22H160002Science and Technology Commission of Shanghai Municipality 23J21901700Science and Technology Commission of Shanghai Municipality 23TS1401100Shanghai Health Commission Emerging Cross Disciplinary Research Project 2022JC003The National Key R&D Program of China 2023YFC3402804
6 · The paper itself

Abstract

Accurate localization of early gastric cancer (EGC) remains challenging due to its morphological resemblance to gastritis. This study presents an artificial intelligence (AI)-assisted bedside diagnostic system to enhance EGC detection by visualizing gastric mucosal acidity. The ATPase H

Indexed as

Artificial IntelligenceEarly Detection of CancerGastric MucosaStomach NeoplasmsAgedFemaleHumansHydrogen-Ion ConcentrationMaleMiddle AgedSpectrum Analysis, Ramanartificial intelligenceearly gastric cancerendoscopygastric aciditysurface‐enhanced Raman scattering

Identifiers

PMID41114471
PMCPMC12697849

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.