Personalized Prediction of Regional Brain Atrophy in Parkinson’s Disease through Multimodal Longitudinal AI Modeling (P6-16.005)

Puntos clave

• To develop a spatio-temporal deep learning model for predicting regional brain atrophy in Parkinson's Disease using multimodal patient data.
• Utilized a spatio-temporal deep learning model.
• Integrated multi-modal patient data to improve prediction accuracy.
• Focused on forecasting brain atrophy over time.
• Produced clinically meaningful predictions of brain atrophy.
• Enhanced personalization in patient care through accurate forecasting.
• Improved understanding of regional changes in Parkinson's Disease.