Article

Assessment of the credibility of generative artificial intelligence large language models on nutritional guidelines for orthodontic patients

2025-06-30

Abstract excerpt

<title>Abstract</title> <p>Background To evaluate the credibility of large language models (LLMs) compared to American Association of Orthodontists (AAO) and British Orthodontic Society (BOS) guides regarding nutritional guidelines for orthodontic patients. Methods The responses offered by ChatGPT 4.0, Copilot and Gemini were assessed for information credibility about tooth decay, food, beverages, oral care, an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9eba66c4-f41a-58fd-9874-ea2480acaf0f
DOI: 10.21203/rs.3.rs-6792273/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Assessment of the credibility of generative artificial intelligence large language models on nutritional guidelines for orthodontic patientsDOI 10.21203/rs.3.rs-6792273/v1Read

Performance of Large Language Models in Providing Patient-Oriented Information on Gingival Recession: A Comparative StudySemantic proximity Read

Comparing the Dental Knowledge of Large Language ModelsSemantic proximity Read

Evaluating Large Language Models for Translating Caries Guidelines into Clinical Decision SupportSemantic proximity Read

Clinical Reliability and Consistency of Large Language Models in Prosthodontics: An Expert Evaluation of ChatGPT and GeminiSemantic proximity Read

A Study on the Accuracy of Pre-Treatment Consultation Responses for Adult Orthodontic Patients Based on Large Language ModelsSemantic proximity Read

Effectiveness of Various General large language models in Clinical Consensus and Case Analysis in Dental Implantology: A Comparative StudySemantic proximity Read

Performance of GPT-5, DeepSeek, and Claude in Dental MCQs for Medically Compromised PatientsSemantic proximity Read

Clinical Safety of Large Language Models in Oral Cancer–Related Patient Communication: A Longitudinal StudySemantic proximity Read

Harmfulness analysis of Large Language Model answers to dental questionsSemantic proximity Read

Comparison of the ChatGPT and DeepSeek models in responding to multiple choice questions related to rehabilitation of completely edentulous patients with complete denturesSemantic proximity Read

Large Language Models Diagnose Facial DeformitySemantic proximity Read

Examining the Accuracy and Reproducibility of Responses to Nutrition Questions Related to Inflammatory Bowel Disease by Generative Pre-trained Transformer-4 (GPT-4)Semantic proximity Read