AI in Healthcare Prevention

AI in Healthcare Prevention

Novel sensing technology combined with long-term monitoring of the health status brings large and complex data to the healthcare ecosystem. In our research lab, we focus on Healthcare Monitoring Systems, following the health status of an individual: physical activity level, social behaviours, and environmental factors all together for a future where we can continuously and unobtrusively track the onset of diseases.

Within AI methods, we will demonstrate graphical models (GM) with expert input, a new framework that holds significant promise for enhancing the prevention and treatment of secondary health conditions (SHC) following spinal cord injuries (SCI). The framework allows healthcare experts to contribute their specialized knowledge, aiding in the development of models that comprehensively represent the complex interdependencies within medical data.

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  • Organization
    SCAI Lab, ETHZ | SPF
  • Profession
    Real-time healthcare status monitoring

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