Enhancing Periodontal Treatment Through the Integration of Deep Learning-Based Detection with Bayesian Network Models.

Journal: Studies in health technology and informatics
PMID: 39176544

Abstract

This study incorporated deep learning for periodontal disease detection into a Bayesian network (BN) clinical decision support model for comprehensive periodontal care. BN structure and probabilities were based on clinical data and Faster R-CNN-detected radiographic images. Receiver operating characteristic curve analysis confirmed the model's high accuracy in treatment plan recommendations.

Authors

  • Bhornsawan Thanathornwong
    Faculty of Dentistry, Srinakharinwirot University, Bangkok, Thailand.
  • Kan Ouivirach
    ODDS, Bangkok, Thailand.
  • Patiwet Wuttisarnwattana
    Faculty of Engineering, Chiang Mai University, Chiang Mai, Thailand.
  • Mansuang Wongsapai
    Intercountry Centre for Oral Health, Ministry of Public Health, Chiang Mai, Thailand.
  • Siriwan Suebnukarn
    Faculty of Dentistry, Thammasat University, Pathum Thani, Thailand.

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