Evidence map›Paper›PMID 38877301›Full record

ArticleNPJ precision oncology2024

Artificial intelligence-based real-time histopathology of gastric cancer using confocal laser endomicroscopy.

Haeyon Cho, Damin Moon, So Mi Heo, Jinah Chu, Hyunsik Bae, Sangjoon Choi, Yubin Lee, Dongmin Kim, Yeonju Jo, Kyuyoung Kim and 4 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2024. 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
–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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Real-timeFrontiers in oncology · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Confocal laser endomicroscopy for gastric neoplasm.World journal of gastrointestinal endoscopy · 2024
    Article
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

14 authors.

Haeyon Cho *Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Damin Moon *Artificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.
So Mi Heo *Department of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea.
Jinah Chu *Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Hyunsik BaeDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Sangjoon ChoiDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Yubin LeeArtificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.
Dongmin KimArtificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4121-5035
Yeonju JoVPIX Medical Inc., Daejeon, Republic of Korea.
Kyuyoung KimVPIX Medical Inc., Daejeon, Republic of Korea.
Kyungmin HwangVPIX Medical Inc., Daejeon, Republic of Korea.
Dakeun LeeDepartment of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea. dakeun@gmail.com.
Heung-Kook ChoiArtificial Intelligence Research Center, JLK Inc., Seoul, Republic of Korea. hkchoi@jlkgroup.com.
Seokhwi KimDepartment of Pathology, Ajou University School of Medicine, Suwon, Republic of Korea. seokhwikim@ajou.ac.kr.ORCID http://orcid.org/0000-0001-7646-5064

Funding

Ministry of Health and Welfare (Ministry of Health, Welfare and Family Affairs) RS-2022-00140721
6 · The paper itself

Abstract

There has been a persistent demand for an innovative modality in real-time histologic imaging, distinct from the conventional frozen section technique. We developed an artificial intelligence-driven real-time evaluation model for gastric cancer tissue using confocal laser endomicroscopic system. The remarkable performance of the model suggests its potential utilization as a standalone modality for instantaneous histologic assessment and as a complementary tool for pathologists' interpretation.

Identifiers

PMID38877301
PMCPMC11178780

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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.