ArticleCureus2023
Utilizing ChatGPT-4 for Providing Information on Periodontal Disease to Patients: A DISCERN Quality Analysis.
Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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.
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Who cites it
22 citing papers in PubMed, 28 citations in OpenAlex.
- Article
- Quality evaluation of online platforms information for retail of prescription medicines in China: an observational study of the case of paroxetine.BMC medical informatics and decision making · 2026Observational
- Diagnostic accuracy and repeatability of ChatGPT using textual and radiographic data in reversible pulpitis: a retrospective diagnostic study.Frontiers in bioinformatics · 2026Article
- Evaluation of large language models in generating and optimizing educational materials for neonatal home oxygen therapy.Frontiers in artificial intelligence · 2026Article
- Applications and potential of ChatGPT in dentistry: Scoping review of research perspectives.Journal of dental sciences · 2026Review
- Evaluating the Response of AI-Based Large Language Models to Common Patient Concerns About Endodontic Root Canal Treatment: A Comparative Performance Analysis.Journal of clinical medicine · 2025Article
- Advances in Periodontal Diagnostics: Application of MultiModal Language Models in Visual Interpretation of Panoramic Radiographs.Diagnostics (Basel, Switzerland) · 2025Article
- Evaluating the Accuracy, Reliability, Consistency, and Readability of Different Large Language Models in Restorative Dentistry.Journal of esthetic and restorative dentistry : official publication of the American Academy of Esthetic Dentistry ... [et al.] · 2025Article
- Evaluation of the performance of large language models in clinical decision-making in endodontics.BMC oral health · 2025Article
- Performance of artificial intelligence chatbots in responding to the frequently asked questions of patients regarding dental prostheses.BMC oral health · 2025Article
- Artificial intelligence solutions for temporomandibular joint disorders: Contributions and future potential of ChatGPT.Korean journal of orthodontics · 2025Article
- Patient- and clinician-based evaluation of large language models for patient education in prostate cancer radiotherapy.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2025Article
- Advancing Patient Education in Idiopathic Intracranial Hypertension: The Promise of Large Language Models.Neurology. Clinical practice · 2025Article
- Effect of AI-based chatbots in promoting oral health awareness among rural populations.Bioinformation · 2025Article
- Assessment of the information quality of chatbot technologies on orthodontic miniscrews.Dental press journal of orthodontics · 2025Article
- Evaluating the influence of prompt formulation on the reliability and repeatability of ChatGPT in implant-supported prostheses.PloS one · 2025Article
- Innovation and application of Large Language Models (LLMs) in dentistry - a scoping review.BDJ open · 2024Article
- Can artificial intelligence models serve as patient information consultants in orthodontics?BMC medical informatics and decision making · 2024Article
- Exploring the Role of ChatGPT-4, BingAI, and Gemini as Virtual Consultants to Educate Families about Retinopathy of Prematurity.Children (Basel, Switzerland) · 2024Article
- Evaluating ChatGPT-4's performance as a digital health advisor for otosclerosis surgery.Frontiers in surgery · 2024Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue to their ability to mimic human responses, anthropomorphic entities such as ChatGPT have a higher likelihood of gaining people's trust. This study aimed to evaluate the quality of information generated by ChatGPT-4, as an artificial intelligence (AI) chatbot, on periodontal disease (PD) using the DISCERN instrument.
methodsUsing Google Bard, the topics related to PD that had the highest search volume according to Google Trends were identified. An interactive dialogue was created by placing the topics in the standard question pattern. As a patient with PD, detailed information was requested from ChatGPT-4 regarding the relevant topics. The 'regenerate response' feature was not employed, and the initial response generated by ChatGPT-4 was carefully considered for each topic as new prompts in the form of questions were entered. The response to each question was independently assessed and rated by two experienced raters using the DISCERN instrument.
resultsBased on the total DISCERN scores, the qualities of the responses generated by ChatGPT-4 were 'good', except for the two responses that rater-2 scored as 'fair'. It was also observed that the 'treatment choices' section of both raters had significantly fewer scores than the other sections. In both weighted kappa and Krippendorff alpha measures, the strength of agreement varied from 'substantial' to 'almost-perfect', and the correlation between values was statistically significant.
conclusionDespite some limitations in providing complete treatment choice information according to the DISCERN instrument, it is considered valuable for PD patients seeking information, as it consistently offered accurate guidance in the majority of responses.
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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.