Authors :
Ripunjoy Sarkar
Volume/Issue :
Volume 10 - 2025, Issue 12 - December
Google Scholar :
https://tinyurl.com/ycthw5hy
Scribd :
https://tinyurl.com/2tecb76d
DOI :
https://doi.org/10.38124/ijisrt/25dec1424
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
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.
References :
- “Accuracy of artificial intelligence in caries detection: a systematic review and meta-analysis,” Head & Face Medicine, vol. 21, no. 24, Apr. 2025. Springer
- “Diagnostic Support in Dentistry Through Artificial Intelligence: A Systematic Review,” PubMed, 2025. PubMed
- “The Role of Artificial Intelligence in Early Detection of Dental Diseases: Current Trends and Future Prospects,” Journal of Dental Science and Medicine, Nov. 2024. Omics Online Publishing
- “Assessment of the Diagnostic Accuracy of Artificial Intelligence Software…,” PubMed, 2025. PubMed
- “Accuracy of AI-Assisted Caries Detection: …,” BMC Oral Health, 2024. SpringerLink
- “Artificial Intelligence Methods in Detection of Oral Diseases on Pantomographic Images,” PubMed. PubMed
- I. E. Hamamci et al., “DENTEX: … Panoramic X-rays,” arXiv, 2023. arXiv
- S. Sarwar & S. Jabin, “AI Techniques for Cone Beam Computed Tomography in Dentistry,” arXiv, 2023. arXiv
- S. Rezaie et al., “Improving Dental Diagnostics: Enhanced Convolution with Spatial Attention Mechanism,” arXiv, 2024.
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.
