Artificial Intelligence-Based Detection and Numbering of Dental Implants on Panoramic Radiographs.

ABSTRACT:

Objectives

This study aimed to develop an artificial intelligence (AI)-based deep learning model for the detection and numbering of dental implants in panoramic radiographs. The novelty of this model lies in its ability to both detect and number implants, offering improvements in clinical decision support for dental implantology.

Materials and methods

A retrospective dataset of 32 585 panoramic radiographs, collected from patients at Sivas Cumhuriyet University between 2014 and 2024, was utilized. Two deep-learning models were trained using the YOLOv8 algorithm. The first model classified the regions of the jaw to number the teeth and identify implant regions, while the second model performed implant segmentation. Performance metrics including precision, recall, and F1-score

SUBMITTER: Balel Y 

PROVIDER: S-EPMC11755223 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature