PERSPECTIVES ON DIGITAL DENTISTRY

digital_dentistryesra_kulkapak

DIGITAL CARIES DETECTION METHODS

Merve İşcan Yapar

Atatürk University, Faculty Dentistry, Department of Restorative Dentistry, Erzurum, Türkiye

İşcan Yapar M. Digital Caries Detection Methods. In: Kul E, editor. Perspectives on Digital Dentistry. 1st ed. Ankara: Türkiye Klinikleri; 2025. p.3141.

ABSTRACT

Dental caries represent one of the most prevalent chronic and multifactorial diseases globally, and their diagnostic methodologies have evolved significantly. Conventional approaches are limited in detecting caries in the early stages, often identifying lesions only when they become clinically appar ent. With the advancement in digital dentistry, methods have been supplanted by more sensitive and patientoriented digital diagnostic technologies. Techniques such as laserbased fluorescence devices, scanning methodologies, electrical conductivity measurements, and the recently developed artificial intelligencebased imaging software facilitate the early detection of caries, enhancing diagnostic ca pabilities. Digital caries diagnostics have improved clinical accuracy and have substantially enhanced patient satisfaction and the efficiency of treatment protocols.

Keywords: Artificial intelligence; Conebeam computed tomography; Fluorescence; Radiography, dental; Transillumination

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