Scoping Review of AI in Diagnostic Oral and Maxillofacial Radiology

AI models for tasks like caries detection and lesion segmentation on dental X-rays and cone-beam CT show promise, but current studies are mostly retrospective and single-center, lacking external validation and standardized datasets needed for clinical adoption.

• The review examined studies using AI for detecting dental caries, jaw lesions, developmental anomalies, and soft-tissue conditions on panoramic radiographs, cephalograms, cone-beam CT, and clinical photos.
• Most studies are retrospective and single-center; reviewers call for standardized imaging datasets, transparent algorithms, and prospective clinical trials before clinical integration.

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