Multi-Task Deep Learning for Sex and Age Estimation from Panoramic Radiographs in a Brazilian Young Population

Key Points

• The framework provides accurate estimations for age and sex, supporting forensic identification.
• Key evidence includes accurate results derived from panoramic radiographs, enhancing clinical assessments in this context.
• Utilizing deep learning techniques, this method analyzes radiographs for effective age and sex estimation.
• The findings highlight the potential for improved identification processes in forensic and pediatric settings.