Clinical Harness for Governable Medical AI Skill Ecosystems

Computer Science > Artificial Intelligence [Submitted on 25 Jun 2026] Clinical Harness for Governable Medical AI Skill Ecosystems Tianhan Xu, Lei Bao, Yongxiang Wang Medical AI remains organized around isolated models, whereas clinical care requires accountable capabilities that persist across time. We propose clinical AI skills and the Clinical Harness: a runtime governance architecture for registering, orchestrating, guarding and monitoring AI-enabled clinical capabilities. Using osteoporosis as an exemplar, we show how knowledge-driven, data-driven and physics-enhanced skills can support lifecycle care under runtime governance. Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2606.26494 [cs.AI]   (or arXiv:2606.26494v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2606.26494 Focus to learn more Submission history From: Tianhan Xu [view email] [v1] Thu, 25 Jun 2026 00:53:24 UTC (2,794 KB) Access Paper: view license Current browse context: cs.AI < prev   |   next > new | recent | 2026-06 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)