aceEvaluating machine learning and neural network architectures for forensic sex estimation using mandibular ramus and notch features on panoramic radiographs
Estimating a biological profile, such as sex, is a fundamental step in forensic identification when primary identifiers are unavailable for direct individual comparison. In forensic scenarios involving advanced decay, specific taphonomic alterations, or midfacial blunt force impacts, the mandibular ramus serves as a valuable anatomical marker due to its distinct sexual dimorphism and thick cortical structure, making it more resilient to fragmentation than other, more fragile facial bones. Despite its utility, th…
The optimized ANN and Logistic Regression frameworks exhibited the highest overall discriminative power (AUC > 0.99), while the Random Forest algorithm achieved the peak classification accuracy (97.10%).
Evidence
- Peer-reviewedInternational Journal of Legal Medicine2026-08-22
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Truvace Impact Record TRV-2026-0851, v1: “Evaluating machine learning and neural network architectures for forensic sex estimation using mandibular ramus and notch features on panoramic radiographs.” Truvace, 2026-08-23. /record/TRV-2026-0851 (accessed at citation time). sha256 a6c917da0c6e3089…
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