AI-Based Dental Implant Detection and Numbering
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This research article details the development and testing of an artificial intelligence (AI) model designed to detect and number dental implants in panoramic radiographs. Utilizing a large dataset of radiographs and the YOLOv8 deep learning algorithm, the researchers trained two models: one for implant segmentation and one for implant numbering within specific jaw regions. The models demonstrated high accuracy in both tasks, achieving precision, recall, and F1-scores above 90% in most cases. The study highlights the potential for this AI model to improve the efficiency and accuracy of dental implant assessments in clinical practice, though further validation with more diverse datasets is recommended. The authors compared the YOLOv8 model's performance to other state-of-the-art models, showing YOLOv8's superiority.
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