ARTIFICIAL INTELLIGENCE-BASED DETECTION AND TREATMENT ALGORITHMS FOR ROOT CANAL DISEASES: A STATISTICAL AND CLINICAL EVALUATION
Keywords:
artificial intelligence, root canal diseases, endodontics, detection algorithms, treatment planning, statistical analysis.Abstract
Artificial Intelligence (AI) is revolutionizing the field of endodontics by enhancing the detection
and management of root canal diseases, such as periapical lesions and pulpitis. This study
examines the application of AI-driven algorithms, particularly deep learning models, in identifying
root canal pathologies using radiographic and clinical data, and in developing optimized treatment
protocols. Statistical metrics, including sensitivity, specificity, accuracy, and area under the
receiver operating characteristic curve (AUC), are employed to assess diagnostic performance.
Challenges such as data heterogeneity, algorithmic complexity, and clinical applicability are
analyzed. The article evaluates AI’s current efficacy and future potential in endodontic practice.
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Copyright (c) 2025 Ro‘ziyev Sh. D, Ro‘ziyev B. D
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