04Nov 2024
AI Model Enhances Detection of Periapical Lesions in Radiographs

AI Model Enhances Detection of Periapical Lesions in Radiographs

This research evaluates the diagnostic accuracy of an AI model based on U²-Net architecture for detecting periapical lesions in dental panoramic radiographs. Using 400 anonymized radiographs, the model achieved a Dice score of 0.8 and strong precision (0.82), recall (0.77), and F1-score (0.8). The findings suggest that AI can serve as a valuable adjunct tool for clinicians in diagnosing periapical radiolucencies and enhancing clinical workflow.

  • #dentistry

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