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Updated: May 24, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Linking Explainability, Trust, and Use: A Framework for Clinical Decision Support
Tom Strube1, Leoni Weltermann1, Jonas Weber2
1Department Healthcare, Fraunhofer Institute for Software and Systems Engineering ISST, Dortmund, Germany.
Abstract:
Adoption of AI-based clinical decision support systems (AI-CDSS) remains limited, largely due to insufficient trust in AI models, especially in high-risk healthcare scenarios. To address this, this research presents an initial conceptual model linking explainability and reliability to clinician trust and intention to use AI-CDSS, thereby guiding the design of trustworthy AI-CDSS.
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