This theme uses computational tools and big data to improve healthcare outcomes:
- AI-powered Personalized Medicine: Development and implementation of AI algorithms to analyze patient data and create personalized treatment plans tailored to individual needs and characteristics. This includes predictive modelling of patient outcomes and risk stratification.
- ML-enhanced Medical Image Analysis: Utilizing machine learning techniques to improve the accuracy and efficiency of medical image analysis, leading to faster and more precise diagnoses. This involves developing and applying algorithms for automated image analysis, 3D reconstruction, and integrating image data with other clinical information.
- IoT-enabled Remote Patient Monitoring: Integrating IoT devices (wearable sensors, smart medical equipment) to collect real-time patient data (vital signs, activity levels, etc.) for early detection of potential health issues and proactive intervention. This allows for remote monitoring, reducing hospital readmissions and improving patient outcomes. Human-Computer Interaction: Human-centered computing