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@article{185944,
        author = {VERONICA.R and I.SHEIK MOHAMMED and Dr. Sathish Rajendran and Dr.Prashanthi P and Dr. Annie Arockia Mary and Dr. Lakshmi Priya and Dr Jaideep Mahendra},
        title = {Detecting Periodontal Bone Loss Through Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {3399-3402},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185944},
        abstract = {Periodontitis, a chronic inflammatory disease resulting in irreversible alveolar bone loss (PBL), presents a significant diagnostic challenge in dentistry due to the inherent subjectivity and variability of traditional radiographic interpretation. This review evaluates the rapidly expanding role of Artificial Intelligence (AI), particularly Deep Learning (DL) models, in automating the detection, quantification, and classification of PBL from dental radiographs. Analysis of recent literature reveals that DL models, primarily Convolutional Neural Networks (CNNs) and their variants (e.g., YOLO, Keypoint R-CNN), consistently achieve high diagnostic accuracy, often exceeding 85% and proving comparable or superior to human clinicians in speed and consistency. The primary drivers for adoption are the need to eliminate subjective operator variability, improve workflow efficiency, and provide precise, quantifiable measurements of bone loss. However, widespread clinical integration is constrained by the dependence on large, high-quality, expertly annotated datasets, a lack of standardized reporting, and the "black box" nature of complex DL algorithms. In conclusion, AI serves as a powerful, promising decision-support tool poised to revolutionize periodontal diagnostics, provided the current data and standardization challenges are overcome.},
        keywords = {Artificial Intelligence (AI); Deep Learning (DL); Convolutional Neural Networks (CNN); Periodontitis; Periodontal Bone Loss (PBL); Dental Radiographs; Automated Diagnosis; Radiographic Analysis; YOLO; Keypoint R-CNN; Diagnostic Accuracy; Clinical Decision Support; Standardization; Dataset Annotation; Explainable AI.},
        month = {October},
        }