Descripción general
The project develops Active Inference agent architectures for processing and interpreting clinical waveform data in real time. The goal is to create principled, uncertainty-aware models that can assist clinicians at the bedside by continuously updating belief states from physiological sensor streams. It is a pilot study in a pediatric intensive care setting, working toward a proof of concept before pursuing a clinical trial.