OpenAlex
metadata only
CC BY 4.0
Federated benchmarking of medical artificial intelligence with MedPerf
benchmarkingcloud-computingcomputer-sciencedata-sciencehealth-careknowledge-managementsoftware-deployment
Medical artificial intelligence (AI) has tremendous potential to advance healthcare by supporting and contributing to the evidence-based practice of medicine, personalizing patient treatment, reducing costs, and improving both healthcare provider and patient experience. Unlocking this potential requ
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
- Kidney AI-enabled Care Transformation#849296
- From algorithms to clinical execution: A cross-validated knowledge atlas of AI-enabled precision care (2015–2025).#320559
- Considering artificial intelligence within innovative medical devices in primary care.#452839
- Google DeepMind and healthcare in an age of algorithms#199560
- Healthcare reimagined: Carebots from hospital to home#382003
Record · ID 964489
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