Dezső Miklós: Rényi AI at AIME25: AI-Supported Patient Journey Analysis

At the 2025 Academia-Industry Matching Event (AIME25), held at the HUN-REN Headquarters, Dezső Miklós presented the latest results from the Rényi AI Research Group with a special focus on AI-driven healthcare innovation. The talk showcased our ongoing work in modeling the Hungarian healthcare system and developing predictive methods for understanding and forecasting patient journeys. Emphasis was placed on model interpretability and explainability—key requirements for clinical deployment—as well as our contributions to cancer screening research, including prostate and colorectal cancer.

The presentation also highlighted the broader research landscape of Rényi AI, covering deep-learning-based representation learning, theoretical advances related to Erdős’s unit distance conjecture, and applied collaborations in energy systems, document processing, and digital archives. These diverse results illustrate how modern AI can bridge theory and real-world impact, with healthcare remaining our central mission.

You can find event details here.