AI Shows Promise for Automated, Objective Dental Age Assessment Related to Legal Thresholds
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The study tested the performance of artificial intelligence (CNNs) to classify individuals below or above legal age thresholds of 14, 16, and 18 years based on dental radiographs.
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Accuracy rates ranged from 82-93% for classifying females and males around the three age thresholds, outperforming most manual methods.
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Performance was best for classifying males around the age of majority (18 years), with 93% accuracy. This can assist in asylum and criminal cases.
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Reducing operator-dependent decisions in dental age assessment can decrease subjectivity and improve reliability.
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External validation on more samples is still needed, but CNNs show promise for automated dental age classification related to legal thresholds.