Performance and repeatability of different models of Chat Generative Pretrained Transformer (GPT) in generating removable partial denture framework designs. A comparative study.

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Bibliographic Details
Title: Performance and repeatability of different models of Chat Generative Pretrained Transformer (GPT) in generating removable partial denture framework designs. A comparative study.
Authors: Alharbi NM; Associate Professor at Department of Prosthetic Dental Sciences College of Dentistry, King Saud University, Riyadh, Saudi Arabia. Electronic address: nalharbi@ksu.edu.sa., Osman RB; Professor at Prosthodontics Department Faculty of Dentistry, Cairo University, Egypt. Electronic address: reham.osman@dentistry.cu.edu.eg.
Source: Journal of dentistry [J Dent] 2026 May; Vol. 168, pp. 106564. Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 0354422 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-176X (Electronic) Linking ISSN: 03005712 NLM ISO Abbreviation: J Dent Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-176X
DOI:10.1016/j.jdent.2026.106564