Gender and Age‐Aware Fully Convolutional Neural Network for Alzheimer's Detection

This study underscores the importance of incorporating demographic information into data-driven models for disease detection, as variables like age and gender play crucial roles in AD progression and susceptibility. Integrating such demographic factors improves model performance and enhances its potential for real-world clinical applications.