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This study evaluates the effectiveness of artificial intelligence, specifically deep learning using Convolutional Neural Networks (CNN), in estimating age from panoramic radiographs of mandibular third molars. The ResNeXt-101 model achieved an accuracy of 84.36% and demonstrated promising results compared to traditional methods, which often involve subjective error. The findings suggest that AI can significantly enhance the speed and accuracy of forensic age determination, although further research with lar

Author

Jhonatas Flor Sousa

Language

EN