Evidence map›Paper›PMID 39219978›Full record

ArticleCureus2024

Evaluation of Artificial Intelligence as a Search Tool for Patients: Can ChatGPT-4 Provide Accurate Evidence-Based Orthodontic-Related Information?

Amani Alkhamees

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

1 author.

Amani AlkhameesDepartment of Orthodontics and Pediatric Dentistry, College of Dentistry, Qassim University, Buraydah, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionArtificial intelligence (AI) is already a part of our reality. Many people started using ChatGPT in their daily life, replacing existing web browsers. The confidence people put in the ability of ChatGPT to provide accurate medical information is increasing. With that, the need for proper assessment tools for the safety and reliability of ChatGPT is also crucial.

objectiveThis study aimed to assess the accuracy, reliability, and quality of information provided by ChatGPT-4 on three specific orthodontic topics, namely, impacted canines, interceptive orthodontic treatment, and orthognathic surgery, as evaluated by five experienced orthodontists using a Likert scale ranking method. MATERIALS AND

methodsUsing ChatGPT version 4, 20 most commonly asked questions were generated and answered on the following topics: impacted canines, interceptive treatment, and orthognathic surgery. The evaluation of the quality of the answers provided was done by five experienced orthodontists. Quality assessment was done using the Likert scale ranking method.

resultsThe quality answers generated by a conversational AI system (ChatGPT4) were evaluated by five experienced orthodontists for three topics: impacted canines, interceptive orthodontics, and orthognathic surgery. The evaluators rated each question-answer pair on a five-point scale from "very poor" to "very good." The results showed that the AI system produced generally good quality information for all topics, with no significant difference between them. The inter-rater agreement among the experts was low, indicating some variability in their judgments.

conclusionThis study demonstrates that ChatGPT4 can provide generally good information on impacted canines, interceptive treatment, and orthognathic surgery. However, answers provided should be handled with caution due to variability and lack of reliability and should not be considered a substitute for professional opinion.

Indexed as

artificial intelligencechatgptorthodonticspatient safetyreliability

Identifiers

PMID39219978
PMCPMC11363007

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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.