Artificial intelligence for dental implant classification and peri-implant disease detection: A clinical study
Artificial intelligence (AI) is transforming diagnostic accuracy in dental care, particularly in the field of implantology. A prospective research was conducted on 150 patients with 212 previously placed dental implants. The AI system correctly classified 97.2% of implants, with a sensitivity of 96.3% and specificity of 98.0%. For peri-implant disease detection, the system achieved 91.8% sensitivity and 93.4% specificity, with an overall AUC-ROC of 0.94. AI demonstrates high diagnostic performance in both implant classification and peri-implant disease detection.
Authors
- Heena Dixit
- Gulista Khan (ORCID: https://orcid.org/0000-0002-7001-5756)
- Rahul Kumar Tiwari (ORCID: https://orcid.org/0000-0001-7789-8144)
- Sunil Pal
- M Smitha
- PASSONI Luiz Fernando C.
- Syed Aaliyah
Institutions
- Government Medical College (IN)
- Government of Andhra Pradesh (IN)
- RKDF University (IN)
- Shri Maharaja Hari Singh Hospital (IN)
- Government of Karnataka (IN)
- Oxford Dental College and Hospital (IN)
- Government Dental College and Hospital (IN)
- MNR Dental College and Hospital (IN)
Publication Details
- Journal
- Bioinformation
- Published
- 2025-08-31
- DOI
- https://doi.org/10.6026/973206300212361
- Primary Topic
- Dental Implant Techniques and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00