Embracing Computer Vision for Diagnostic Maxillofacial Imaging — An Artificial Intelligence Machine Learning (AIML)Pilot Project

AI-driven computer vision models show strong potential for improving diagnostic workflows in maxillofacial imaging. Their application can support more efficient clinical decision-making. However, the use of small test samples may have resulted in overfitting. Future studies with larger datasets and increased AI literacy among clinicians are essential for real-world implementation in resource-limited settings.