Artificial intelligence for dental implant classification and peri-implant disease detection: A clinical study
Year: 2025
Type: article
Study design: Observational Study
Abstract: 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.
Source: Bioinformation
Authors: Gousia Shafat Khan, Syed Aaliyah, Sunil Pal, Rahul Tiwari, Smitha M, Heena Dixit, ommisionerate of Health and Family Welfare, Government of Telangana, Hyderabad, India, Prashant M.C, Thoid Ali
Institution: RKDF University
Language: English
Subfield: Oral Surgery
Field: Dentistry
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W4414062970