NCBI PubMed Central
open access
Beyond performance metrics: evaluating clinical artificial intelligence (AI) post deployment.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Governing artificial intelligence in cancer care: Perspectives and recommendations from patient organizations and the MULTIR consortium#670221
- Artificial intelligence in medicine: a clinician-oriented guide and operational framework to evaluate new AI devices#971212
- AI-driven transformation of precision medicine: a comprehensive narrative review of key application areas, emerging paradigms, and future directions#19951
- Navigating the Artificial Intelligence Revolution in Clinical Neurology: A New Multidisciplinary Task Force Within the European Academy of Neurology.#479256
- AI Agents and the Future of Clinical Judgment in Medical Education: Opportunities, Challenges, and the Need for Human-Centered Integration.#455267
Record · ID 438974
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive