Integrating Multiple Modalities to Enhance Performance for Brain Age Prediction
AAIC 2025 Abstract
Abstract
Background: Brain age prediction is a valuable tool for identifying deviations from normal aging and detecting neurological disorders such as Alzheimer's disease (AD) at an early stage. With the advent of multimodal databases like HABS‐HD, leveraging multilevel and multiscale AD datasets may enhance the precision of brain age prediction.
