Evaluation of Chatbot Responses to Text-Based Multiple-Choice Questions in Prosthodontic and Restorative Dentistry

Evaluation of Chatbot Responses to Text-Based Multiple-Choice Questions in Prosthodontic and Restorative Dentistry

<b>Background/Objectives</b>: This study aims to evaluate the response accuracy and quality of three AI chatbots—GPT-4.0, Claude-2, and Llama-2—in answering multiple-choice questions in prosthodontic and restorative dentistry. <b>Methods</b>: A total of 191 text-based multipl...

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Bibliographic Details
Main Authors: Reinhard Chun Wang Chau, Khaing Myat Thu, Ollie Yiru Yu, Richard Tai-Chiu Hsung, Denny Chon Pei Wang, Manuel Wing Ho Man, John Junwen Wang, Walter Yu Hang Lam
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Dentistry Journal
Subjects:
artificial intelligence
deep learning
machine learning
mouth rehabilitation
natural language processing
Online Access:https://www.mdpi.com/2304-6767/13/7/279
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