Deep learning for automated dental plaque index assessment: validation against expert evaluations.

Journal: BMC oral health
Published Date: Jul 2, 2025

Abstract

BACKGROUND: The integration of artificial intelligence (AI) into healthcare has led to promising advancements in clinical decision-making and diagnostic accuracy. In dentistry, automated methods to evaluate oral hygiene measures, such as dental plaque detection, could improve patient care and streamline remote assessments.

Authors

  • Jin-Sun Jeong
    School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong University, Shandong, 250012, China.
  • Kyeong-Seop Kim
    Biomedical Engineering, School of ICT Convergence Engineering, College of Science & Technology, Konkuk University, 268 Chungwon-daero, Chungju 27478, Republic of Korea.
  • Yu Gu
    Microsoft Research, Redmond, WA, USA.
  • Da-Hyun Yoon
    Dental Hygienist, Seoul Deep Sleep Dental Clinic, Seoul, Republic of Korea.
  • Meng Zhang
    College of Software, Beihang University, Beijing, China.
  • Ling Wang
    The State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, #7 Jinsui Road, Guangzhou, Guangdong 510230, China.
  • Jeong-Hwan Kim
    Biomedical Engineering, School of ICT Convergence Engineering, College of Science & Technology, Konkuk University, 268 Chungwon-daero, Chungju 27478, Republic of Korea.

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