New AI Framework Predicts Brain Age Across Lifespan Using Multi-Modal MRI Data

A novel two-stage artificial intelligence framework has been developed to predict brain age across the entire human lifespan using multi-modal MRI data. The system processes brain morphology and white matter organization independently before integrating them through late fusion techniques. This approach first classifies subjects into one of six developmental stages, then estimates precise age within that predicted stage. Unlike previous methods limited to narrow age ranges or single imaging modalities, this framework captures coordinated macro- and microstructural changes occurring throughout life. Brain age quantification from MRI has emerged as a significant biomarker for assessing neurological health. The model's architecture enables unified assessment of brain maturity across diverse developmental periods. Researchers developed this approach to address limitations in existing brain age prediction methods. The framework characterizes the integrated evolution of brain structure and organization over time.