AIMC Topic: Denture, Partial, Fixed

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Assessing the accuracy, repeatability, and consistency of ChatGPT 4o in treatment planning for tooth-supported fixed prostheses: a comparative analysis of simple and complex clinical cases.

Clinical oral investigations Sep 2, 2025
OBJECTIVES: The aim of this study is to evaluate the effectiveness of ChatGPT 4o in planning tooth-supported fixed prostheses by examining the accuracy, repeatability, and consistency of its responses across various prosthodontic cases.
Humans Reproducibility of Results Surveys and Questionnaires Generative Artificial Intelligence Patient Care Planning Prosthodontics Denture, Partial, Fixed
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LIMITED EVIDENCE SUGGESTS ARTIFICIAL INTELLIGENCE SHOWS PROMISING PERFORMANCE IN OUTCOMES RELEVANT TO REMOVABLE AND FIXED PROSTHODONTIC FIELDS.

The journal of evidence-based dental practice Jan 3, 2025
ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Revilla-León M, Gómez-Polo M, Vyas S, Barmak AB, Gallucci GO, Att W, Özcan M, Krishnamurthy VR. Artificial intelligence models for tooth-supported fixed and removable prosthodontics: A systematic review. J...
Humans Artificial Intelligence Systematic Reviews as Topic Meta-Analysis as Topic Prosthodontics Denture, Partial, Removable Denture, Partial, Fixed
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Anomaly detection of retention loss in fixed partial dentures using resonance frequency analysis and machine learning: An in vitro study.

Journal of prosthodontic research Feb 22, 2024
PURPOSE: This study aimed to determine the usefulness of machine learning techniques, specifically supervised and unsupervised learning, for assessing the cementation condition between a fixed partial denture (FPD) and its abutment using a resonance ...
Humans Machine Learning In Vitro Techniques Mandible Denture Retention Crowns Denture, Partial, Fixed Cementation Dental Abutments
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