Back to search

Article

Harmfulness analysis of Large Language Model answers to dental questions

2026-01-12

Abstract excerpt

<title>Abstract</title> <p>It became common for patients to use the Internet as a source of solutions to medical questions, including dental problems. Furthermore, the use of Large Language Models has recently become widely available to the public. The aim of this study was to assess the safety of patients in the aspect of using Large Language Models to answer dental questions. Based on the experience of practici...

Topics

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

Identifiers and source

Literature Corpus work
7a30b9ea-dded-5007-8648-7f422215658a
DOI
10.21203/rs.3.rs-7456616/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Harmfulness analysis of Large Language Model answers to dental questionsDOI 10.21203/rs.3.rs-7456616/v1
Comparing the Dental Knowledge of Large Language ModelsSemantic proximity
Exploring the use cases and limitations of large language models in the biomedical and clinical tasksSemantic proximity
Assessment of the credibility of generative artificial intelligence large language models on nutritional guidelines for orthodontic patientsSemantic proximity
Effectiveness of Various General large language models in Clinical Consensus and Case Analysis in Dental Implantology: A Comparative StudySemantic proximity
Clinical Safety of Large Language Models in Oral Cancer–Related Patient Communication: A Longitudinal StudySemantic proximity
Performance of ChatGPT in Dentistry: Multi-specialty and multi-centric studySemantic proximity
Comparison of the ChatGPT and DeepSeek models in responding to multiple choice questions related to rehabilitation of completely edentulous patients with complete denturesSemantic proximity
Performance of Large Language Models in Providing Patient-Oriented Information on Gingival Recession: A Comparative StudySemantic proximity
A Study on the Accuracy of Pre-Treatment Consultation Responses for Adult Orthodontic Patients Based on Large Language ModelsSemantic proximity
Clinical Reliability and Consistency of Large Language Models in Prosthodontics: An Expert Evaluation of ChatGPT and GeminiSemantic proximity
Evaluating Large Language Models for Translating Caries Guidelines into Clinical Decision SupportSemantic proximity
Impact of Query Language on Large Language Model Performance in Dental Trauma Management: A Comparative Evaluation of ChatGPT, Gemini, and ClaudeSemantic proximity
Select a neighboring publication to make it the new centre.