HAL (France)
open access
Navigating AI unpredictability: Exploring technostress in AI-powered healthcare systems
The adoption of AI-powered systems in healthcare has revolutionized the field by introducing autonomous diagnostics and predictions, though it remains a source of debate due to its disruptive nature. This research utilizes the holistic model of stress to empirically examine the effects of six techno
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
- The “inconvenient truth” about AI in healthcare#477121
- Physician versus patient use of AI for diabetes prevention: public perceptions and comfort levels.#445981
- Global English-language-dominated discourse on artificial intelligence in healthcare: a three-year longitudinal analysis of the #AIinHealthcare movement on X.#150129
- Global English-language-dominated discourse on artificial intelligence in healthcare: a three-year longitudinal analysis of the #AIinHealthcare movement on X#19933
- Artificial Intelligence and Burnout among Professionals: The Moderating Role of Cognitive Efficacy#120640
Record · ID 1480002
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