Evidence mapPaperPMID 41585200Full record

ReviewJournal of dental sciences2026

Applications and potential of ChatGPT in dentistry: Scoping review of research perspectives.

Masakazu Hamada, Sumire Kikuchi, Tatsuya Akitomo, Satoru Kusaka, Yuko Iwamoto, Ryota Nomura

Abstract readReview
In one paragraph

Review in Journal of dental sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Masakazu HamadaDepartment of Oral & Maxillofacial Oncology and Surgery, Graduate School of Dentistry, The University of Osaka, Osaka, Japan.
Sumire KikuchiDepartment of Oral & Maxillofacial Oncology and Surgery, Graduate School of Dentistry, The University of Osaka, Osaka, Japan.
Tatsuya AkitomoDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Satoru KusakaDepartment of Pediatric Dentistry, Hiroshima University Hospital, Hiroshima, Japan.
Yuko IwamotoDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Ryota NomuraDepartment of Pediatric Dentistry, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since ChatGPT was released in 2022, it has been used in various settings and has rapidly been adopted worldwide. The main objective of this review was to provide a comprehensive assessment of the accuracy, reliability, usefulness, and limitations of ChatGPT in dentistry. PubMed, Scopus, and Web of Science databases were searched using the terms "ChatGPT" and "dentistry", and 63 papers were extracted. Of the 63 records identified, medical consultation and assistance were the most common, accounting for 35 of 63 records (53.8 %), followed by study assistance and confirmation tests with 16 records (24.6 %), national and specialist dental examinations with 8 records (12.3 %), and dental research with 4 records (6.2 %). Although ChatGPT can offer many possibilities in the dental field, researchers and dentists should evaluate and use it carefully because ChatGPT answers are not always reliable, and there is a possibility of information leakage. Although its limitations need to be considered, ChatGPT has the potential to revolutionize dental diagnosis, treatment, education, and research.

Indexed as

Artificial intelligenceChatGPTDentistryLarge language modelsReview

Identifiers

PMID41585200
PMCPMC12825510

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.