arXiv (All)
open access
A Sociotechnical Review of Algorithms in Health Systems: Technical, Cost, and Human-Centered Considerations
Artificial intelligence (AI) applications in healthcare are becoming increasingly prevalent, to assist health systems, providers, and patients with tasks such as decision-making, risk prediction, and diagnosis. This increasing computational potential brings AI applications to the forefront of workpl
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
- Model generalizability considerations in development and evaluation of SaMD#1120075
- Artificial intelligence and algorithmic bias: implications for health systems#666658
- On algorithmic fairness in medical practice#738005
- Artificial intelligence in medicine: Overcoming or recapitulating structural challenges to improving patient care?#104938
- Rethinking How We Evaluate Methodological Progress in Health AI#1011830
Record · ID 1036480
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