Advanced Cavity Diagnosis and Prediction Using AI and Dental Imaging Technologies

P. Sukumar, Rangaiyan S., Srihariraj R. C., Thirukkumaran S.

2025

Abstract

Dental health is very important to total health, but early cavities have been a persistent problem. The present study investigates a highly sophisticated diagnostic framework which endeavors to replicate human expert behavior in the detection and prediction of dental caries progression. Through analyzing radiographic images and identifying subtle patterns that may be missed, the system improves accuracy and reduces errors of judgment. A systematic learning paradigm adapts to the capability to identify involved areas, quantify morbidity, and predict future changes. In the proposed framework, image restoration, pattern recognition, and predictive evaluation are combined to support decision makers. Results show marked enhancement in accuracy, and early-stage diagnosis to implement more efficient treatment planning.

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Paper Citation


in Harvard Style

Sukumar P., S. R., C. S. and S. T. (2025). Advanced Cavity Diagnosis and Prediction Using AI and Dental Imaging Technologies. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 321-327. DOI: 10.5220/0013927700004919


in Bibtex Style

@conference{icrdicct`2525,
author={P. Sukumar and Rangaiyan S. and Srihariraj C. and Thirukkumaran S.},
title={Advanced Cavity Diagnosis and Prediction Using AI and Dental Imaging Technologies},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={321-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013927700004919},
isbn={978-989-758-777-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Advanced Cavity Diagnosis and Prediction Using AI and Dental Imaging Technologies
SN - 978-989-758-777-1
AU - Sukumar P.
AU - S. R.
AU - C. S.
AU - S. T.
PY - 2025
SP - 321
EP - 327
DO - 10.5220/0013927700004919
PB - SciTePress