2026-07-21T20:02:54Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:23671 2026-02-09T12:25:39Z ddc:004 open_access

From Research to Certification with Data-Driven Medical Decision Support Systems (Dagstuhl Seminar 25052) Santos-Rodriguez, Raul Sokol, Kacper Vogt, Julia E. Wellmann, Sven artificial intelligence clinical practice decision support systems digital healthcare machine learning 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Raul Santos-Rodriguez and Kacper Sokol and Julia E. Vogt and Sven Wellmann 2025 Is Part Of Dagstuhl Reports, Volume 15, Issue 1 (2025) Article Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagRep.15.1.201 urn:nbn:de:0030-drops-236715 https://drops.dagstuhl.de/entities/document/10.4230/DagRep.15.1.201 eng https://creativecommons.org/licenses/by/4.0/legalcode