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Agent basé sur les données de forme d'onde clinique
Chercheurs cliniques, ingénieurs biomédicaux et praticiens en intelligence artificielle de la santé.
Agent basé sur les données de forme d'onde clinique
Développer des agents d'inférence active pour l'analyse de données de flux cliniques au lit du patient et le soutien décisionnel en temps réel.
📦 This project is archived. It is no longer active, and any participation prompts below describe how it previously operated.
Clinical Waveform Data Based Agent develops Active Inference systems for bedside clinical monitoring. It applies the free energy framework to real-time waveform data — plethysmograph, arterial pressure line, and ventilator curves — to support clinical decision-making in a pediatric intensive care setting.
Présentation générale
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.
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Les chercheurs cliniques, les ingénieurs biomédicaux et les praticiens de l'IA ayant un intérêt pour la santé sont les bienvenus.
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