International Journal For Multidisciplinary Research

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Age Estimation using Dental Radiography: A Review

Author(s) Dr. Vijila K.V., Dr. Priya Ramani, Srihari Selvakumar, Sneha Ravivarman, sreshta chary, sowmiya suresh
Country India
Abstract Dental age estimation using radiographic techniques plays a vital role in forensic science, clinical dentistry, anthropology, and legal investigations. Teeth are highly durable and follow predictable developmental patterns, making them reliable biological markers of age. Over the years, several radiographic methods such as Nolla’s, Demirjian’s, Moorrees-Fanning-Hunt, Willems, Cameriere’s, and Kvaal’s techniques have been developed, each with unique applicability across different age groups. While traditional approaches rely on evaluating tooth development or secondary dentin deposition, advanced imaging modalities like cone-beam computed tomography (CBCT), digital subtraction radiography, and orthopantomography have significantly improved accuracy and visualization. Moreover, artificial intelligence (AI) and machine learning models are revolutionizing the field, enabling automated, population-specific, and multimodal frameworks for age prediction. Despite limitations related to observer variability, population dependency, and radiation exposure, dental radiography remains a cornerstone in age estimation. Future advancements promise globally adaptable, precise, and ethically optimized models for forensic and clinical practice.
Keywords Dental age estimation, Radiography, Chronological age, Anthropology, Orthopantomography
Field Medical / Pharmacy
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-02
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62278
Short DOI https://doi.org/hbdsjg
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