Dentistry Detection by Artificial Intelligence

Ripunjoy Sarkar ()

International Journal of Innovative Science and Research Technology (IJISRT), 2025, vol. 10, issue 12, 2245-2247

Abstract: The integration of Artificial Intelligence (AI) into dental diagnostics has emerged as a transformative force in modern dentistry. AI systems, particularly those based on deep learning, have demonstrated promising performance in early detection, classification, and diagnosis of dental diseases using a variety of imaging modalities, including intraoral radiographs, panoramic X-rays, and cone beam computed tomography (CBCT). This paper surveys recent advancements in AI-driven dental detection, compares algorithm performance against traditional clinical judgment, discusses applications in caries, periodontal disease, and other dental pathologies, and expounds on opportunities and limitations. The clinical potential, ethical concerns, and future challenges for routine integration are examined.

Keywords: Artificial Intelligence; Dentistry; Caries Detection; Dental Imaging; Deep Learning; Diagnostic Accuracy. (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:cvr:ijisrt:2025:12:ijisrt25dec1424

DOI: 10.38124/ijisrt/25dec1424

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