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This report outlines the programme and outcomes of Dagstuhl Seminar 25052 "From Research to Certification with Data-Driven Medical Decision Support Systems". Our seminar addressed the complex challenges of transferring artificial intelligence systems from research labs into real-world clinical practice. Bringing together clinicians, researchers and industry stakeholders, it explored the potential and pitfalls of deploying data-driven models in healthcare, highlighting the need for rigorous evaluation, human-centred design and responsible innovation. Key discussions included regulatory hurdles, reproducibility issues, interpretability and human-machine collaboration. Group sessions focused on evaluation frameworks and human factors in medical artificial intelligence system design. The seminar laid the foundation for a collaborative research agenda aimed at safe, effective and ethical integration of data-driven predictive models into real-life clinical workflows.
@Article{santosrodriguez_et_al:DagRep.15.1.201,
author = {Santos-Rodriguez, Raul and Sokol, Kacper and Vogt, Julia E. and Wellmann, Sven},
title = {{From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052)}},
pages = {201--220},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2025},
volume = {15},
number = {1},
editor = {Santos-Rodriguez, Raul and Sokol, Kacper and Vogt, Julia E. and Wellmann, Sven},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.201},
URN = {urn:nbn:de:0030-drops-236715},
doi = {10.4230/DagRep.15.1.201},
annote = {Keywords: artificial intelligence, clinical practice, decision support systems, digital healthcare, machine learning}
}