Review
Open access
Sep 2026
Deep-Learning Artificial Intelligence Model for Tooth Restorability Using Radiographic Assessment.
INTRODUCTION AND AIM Evidence-based decision-making in determining whether to preserve or extract a tooth is essential for maintaining long-term function and aesthetics. However, such decisions are often subjective and influenced by the clinician's experience. This study aimed to develop and evaluate a deep learning-ba...
Rafif Alshenaiber, H. W. Abozaed, Bandar Alzahrani et al.
· International Dental Journal · 0 citations