OpenAlex
metadata only
CC BY 4.0
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
BACKGROUND: Explainability is one of the most heavily debated topics when it comes to the application of artificial intelligence (AI) in healthcare. Even though AI-driven systems have been shown to outperform humans in certain analytical tasks, the lack of explainability continues to spark criticism
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
- A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?#964502
- Demystifying Artificial Intelligence: A Systematic Review of Explainable Artificial Intelligence in Medical Imaging.#9143
- Explainable Artificial Intelligence in Healthcare: Current Landscape, Challenges, and Future Directions.#122846
- Explainability for artificial intelligence in healthcare: a multidisciplinary perspective#10580
- A manifesto on explainability for artificial intelligence in medicine#419050
Record · ID 964267
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