AI agents could reliably support diagnoses and clinical decision-making in the future – provided that sensitive health data are protected and clinicians can assess how reliable individual AI-generated results are. Researchers at EKFZ have developed an on-premise medical AI system that addresses both challenges.
Open Doors at Saxon Ministries
Interactive exhibits gave visitors a hands-on look at current developments in medicine.
Read moreProf. Kai Markus Schneider Receives ERC Starting Grant
Millions in funding for research on how nerve fibers influence tumors: To catalyze his LIVER-CIRCUITS project, Prof. Kai Markus Schneider has received a Starting Grant from the European Research Council…
Read moreResearchers have systematically analyzed the risks associated with LLM use in medicine. Their review article has now been published in Nature.
Read moreEurope needs stronger regulatory science for medical AI and MedTech
Europe should establish Centres of Excellence in Regulatory Science and Innovation (CERSIs) researchers argue in a Comment published in Nature Biomedical Engineering.
Read moreResearchers Advance Privacy-Preserving AI for Patient-Level Analysis of Surgical Videos
The research team has shown that hospitals can collaboratively train AI models for surgical video analysis without exchanging sensitive patient data. Their study has been published in NEJM AI.
Read moreTraining the next generation of AI-literate hepatologists and researchers
Read moreAcross the city, thousands of science enthusiasts experienced research and innovation first hand, including at two interactive stations organized by the EKFZ.
Read moreAI agent MIRA supports clinical workflows in electronic health records as a co-pilot
The next stage of medical AI: AI agent MIRA evaluated autonomously medical information, ordered tests, and prepared diagnostic and treatment decisions within electronic health records in a simulated hospital information…
Read moreSimulating stress, sadness, and anxiety in LLMs
A research team from TU Dresden has now shown that LLMs can reproduce patterns of human emotions such as anxiety, sadness, or stress.
Read moreFiona Kolbinger receives 2026 Jung Career Advancement Award for Medical Research
In recognition of her work on AI-supported cancer surgery, Clinician Scientist Dr. Fiona Kolbinger, MD, PhD, receives the 2026 Jung Career Advancement Award endowed with 210,000 euros.
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