Harnessing AI for Societal Impact in Healthcare

At the Rényi AI research group, we are dedicated to pursuing transformative artificial intelligence projects with significant societal impact. A primary focus of our work is advancing healthcare through state-of-the-art deep learning techniques and sophisticated mathematical tools. Our goal is to deliver predictive healthcare solutions that address critical challenges at both individual patient and broader population health levels.

Structuring Comprehensive Patient Journeys

Central to our research approach is the comprehensive analysis of patient journeys. As an essential first step, we aim to construct high-quality structured patient pathways by utilizing AI methodologies to synthesize information from patient documentation and electronic health records (EHR) across diverse data sources. This structured patient journey forms a solid foundation for in-depth analyses and predictive modeling of healthcare outcomes.

Predictive Analytics for Proactive Healthcare

Building upon this foundation, our research endeavors to anticipate and manage potential health risks, thereby enabling proactive interventions and improved patient outcomes. By applying predictive analytics at a population level, we can better understand health trajectories, identify risks of health deterioration, and contribute significantly to preventive healthcare strategies.

Empowering Broader Healthcare Research

Additionally, structured patient journeys provide a robust foundation for broader healthcare research. This detailed and structured data significantly enhances studies reliant on precise patient histories and trajectories, expanding the scope and effectiveness of research across multiple healthcare disciplines.