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Performance of a Vision-Language Model in Detecting Common Dental Conditions on Panoramic Radiographs Using Different Tooth Numbering Systems

<b>Objectives</b>: The aim of this study was to evaluate the performance of GPT-4o in identifying nine common dental conditions on panoramic radiographs, both overall and at specific tooth sites, and to assess whether the use of different tooth numbering systems (FDI and Universal) in prompts would...

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Hoofdauteurs: Zekai Liu, Qi Yong H. Ai, Andy Wai Kan Yeung, Ray Tanaka, Andrew Nalley, Kuo Feng Hung
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2025-09-01
Reeks:Diagnostics
Onderwerpen:
artificial intelligence
vision-language models
large language models
panoramic radiographs
diagnostic accuracy
dentistry
Online toegang:https://www.mdpi.com/2075-4418/15/18/2315
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