ArticleCureus2026
ChatGPT in Pediatric Dental Trauma: A Cross-Sectional Assessment of Response Reliability to Parental Queries.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim and background Parents often turn to the Internet for answers regarding their child's health due to limited access to doctors on-demand and curiosity about medical conditions or treatments. With its human-like interaction and artificial intelligence (AI), ChatGPT (OpenAI, San Francisco, California) is a popular AI-supported tool that is expected to become commonly used. Traumatic dental injuries (TDIs) are common in children, yet parents are often unaware of appropriate aid. Since timely emergency care significantly affects treatment outcomes, many parents may seek advice from AI chatbots during such situations. This study aimed to assess the relevance, correctness, logic, clarity, and completeness of ChatGPT's responses to frequently asked parental questions following dental trauma scenarios. Methods This study was conducted at Goa Dental College and Hospital, Bambolim. A set of 15 questions from a parent-perspective depicting scenarios were drafted and entered into ChatGPT version 4.0. A panel of 29 experts evaluated the responses using a pre-validated questionnaire, rating each answer on a five-point scale across five parameters, namely, relevance, correctness, logic, clarity, and completeness, along with an open-ended question to determine what the experts would have added to the ChatGPT response. Results The mean score across all responses was 4.35, indicating that most ChatGPT answers were of good quality with minimum inaccuracies. Completeness had the lowest score among all parameters, with only 82.76% of respondents rating it ≥ 4 (score 4 = adequate), indicating that there were some missing components in the answers. Conclusion Answers were mostly found to be relevant, logical, correct, complete, and in clear language. Clinical significance ChatGPT can serve as a helpful tool for parents seeking timely, evidence-based information about dental trauma in children. This research is a foundational step for early evidence on the reliability of ChatGPT in the dental domain.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.