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临床研究人员、生物医学工程师和医疗人工智能从业者。
开发基于主动推断的代理，用于床边临床波形数据分析和实时决策支持。
This project is archived. It is no longer active, and any participation prompts below describe how it previously operated.
在本页
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.
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.
欢迎临床研究人员、生物医学工程师和对医疗保健感兴趣的人工智能从业者。
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