Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting From Multimodal Data
Deep neural networks are often applied to medical images to automate the problem of medical diagnosis. However, a more clinically relevant question that practitioners usually face is how to predict the future trajectory of a disease. Current methods for prognosis or disease trajectory forecasting often require domain knowledge and are …