Integration of deep learning and Bayesian networks for personalized tooth color prediction in dental esthetics: A study in Chinese Han population

This novel hybrid framework significantly improved tooth color prediction accuracy compared to traditional methods. The findings provide quantitative guidance for personalized shade selection based on individual characteristics, potentially enhancing clinical outcomes and patient satisfaction in esthetic dentistry.

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Publication Details

Journal
Journal of Prosthodontics
Published
2025-11-04
DOI
https://doi.org/10.1111/jopr.70049
Citations
1
Primary Topic
Dental Radiography and Imaging
Type
article
Field-Weighted Citation Impact
1.79
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article

Integration of deep learning and Bayesian networks for personalized tooth color prediction in dental esthetics: A study in Chinese Han population

Jianying Xiong, Lin Wang, Chenglu Ruan
1 citations
Journal of Prosthodontics
Dental Radiography and Imaging
1.79
article

Integration of deep learning and Bayesian networks for personalized tooth color prediction in dental esthetics: A study in Chinese Han population

Jianying Xiong, Lin Wang, Chenglu Ruan
article en
1 citations

Abstract

This novel hybrid framework significantly improved tooth color prediction accuracy compared to traditional methods. The findings provide quantitative guidance for personalized shade selection based on individual characteristics, potentially enhancing clinical outcomes and patient satisfaction in esthetic dentistry.

Journal of Prosthodontics
Shanghai University of Traditional Chinese Medicine (CN), Sanming University (CN)
Openalex Percentile: Top 11%
Dental Radiography and Imaging
1.79
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