AI for Periapical Lesion Detection on Panoramic Radiographs
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This 2025 article in Diagnostics investigates the effectiveness of a deep learning-based artificial intelligence system, Diagnocat (DC), in detecting periapical lesions (PL) on panoramic dental radiographs. The study compared DC's performance against a human-established ground truth, assessing its sensitivity, specificity, and diagnostic accuracy. Their findings indicate that DC can reliably support the identification of PLs, although its accuracy varied across different tooth types, with canines showing the lowest detection rates. The research suggests that AI tools like DC hold promise as aids for dentists in radiographic assessments, potentially enhancing diagnostic capabilities.
Szabó, V. et al. Deep Learning-Based Periapical Lesion Detection on Panoramic Radiographs. Diagnostics 15, 510 (2025).
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