Petreska, Anita and Ristevski, Blagoj and Markovska Arsovska, Mirjana and Rendevski, Nikola (2025) AI-Driven Classification of Bisphosphonate-Related Osteonecrosis of the Jaw (BRONJ) for Enhanced Clinical Management. In: 11th International Conference on Control, Decision and Information Technologies, CoDIT 2025, 15-17 July, 2025, Split, Croatia.
Full text not available from this repository.Abstract
Bisphosphonate-related osteonecrosis of the jaw (BRONJ) is a rare yet serious condition that affects patients undergoing bisphosphonate therapy for osteoporosis and malignant bone diseases. Accurate classification of BRONJ stages is essential for early diagnosis and optimal treatment planning. Traditional diagnostic methods rely on subjective clinical assessments and radiographic analysis, which can lead to inconsistencies and delays in treatment. This study proposes an AI-driven classification model for BRONJ to address these challenges using machine learning (ML) and deep learning (DL) techniques. The research evaluates the performance of Support Vector Machines (SVM), Random Forest (RF), and Multilayer Perceptron (MLP) on a dataset containing demographic information, clinical symptoms, laboratory results, and patient medical history. To mitigate class imbalance, Synthetic Minority Over-sampling Technique (SMOTE) and class merging strategies were applied. The optimized MLP model achieved an accuracy of 88.24%, improving generalization through regularization, dropout layers, and hyperparameter tuning. The results demonstrate the feasibility of ML and DL models for BRONJ classification, offering a more objective and automated approach to disease staging. The proposed model has the potential to reduce diagnostic variability, improve risk stratification, and assist clinicians in decision-making. By leveraging AI techniques, this study paves the way for more efficient and standardized BRONJ diagnosis, ultimately contributing to better patient outcomes and enhanced clinical workflows.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | bisphosphonate-related osteonecrosis of the jaw; AI in healthcare; machine learning; deep learning; medical diagnosis; exploratory data analysis. |
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Prof. d-r. Blagoj Ristevski |
| Date Deposited: | 29 Oct 2025 09:09 |
| Last Modified: | 29 Oct 2025 09:09 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11158 |
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