AI-driven longitudinal health monitoring
- Develop AI-based longitudinal and multi-modal risk refinement approaches, modeled on human physicians, that can accomodate variable and limited prior context into risk assessment frameworks. arXiv
- Develop foundation models to learn generalized representations from multi-modal (imaging + clinical variables) medical data
- Self-supervised representation learning approach to identify increases in risk over time for longitudinal imaging ISMRM Proc