Evidence map›Paper›PMID 40868106›Full record

ReviewBiomedicines2025

Artificial Intelligence in the Diagnosis of Tongue Cancer: A Systematic Review with Meta-Analysis.

Seorin Jeong, Hae-In Choi, Keon-Il Yang, Jin Soo Kim, Ji-Won Ryu, Hyun-Jeong Park

Abstract readReview
In one paragraph

Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Warning people about the risk of AI error mitigates human acquisition of AI bias.Cognitive research: principles and implications · 2026
    Article
  4. Article
  5. 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

6 authors.

Seorin JeongDepartment of Orthodontics, School of Dentistry, Chosun University, Gwangju 61452, Republic of Korea.
Hae-In ChoiDepartment of Oral and Maxillofacial Surgery, Chosun University Dental Hospital, Gwangju 61452, Republic of Korea.ORCID 0000-0002-2425-9506
Keon-Il YangDepartment of Periodontology, School of Dentistry, Chosun University, Gwangju 61452, Republic of Korea.
Jin Soo KimDepartment of Oral and Maxillofacial Radiology, School of Dentistry, Chosun University, Gwangju 61452, Republic of Korea.ORCID 0000-0002-1847-3741
Ji-Won RyuDepartment of Oral Medicine, School of Dentistry, Chosun University, Gwangju 61452, Republic of Korea.ORCID 0000-0002-5586-8195
Hyun-Jeong ParkDepartment of Oral Medicine, School of Dentistry, Chosun University, Gwangju 61452, Republic of Korea.ORCID 0000-0002-5237-005X

Funding

This study was supported by a research fund from Chosun University Dental Hospital 2023
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligenceconvolutional neural networkdeep learningdiagnostic accuracyhistopathologymedical imagingsystematic reviewtongue cancer

Identifiers

PMID40868106
PMCPMC12383329

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.