OpenAlex
metadata only
CC BY 4.0
Explainable AI for Healthcare 5.0: Opportunities and Challenges
artificial-intelligencebig-datacomputer-sciencedata-sciencehealth-caresoftware-deploymenttransparency-behavior
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
- Pulmonary Arterial Hypertension and Associated Cardiovascular Disease Detection Using Artificial Intelligence#858693
- Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability#340932
- Explainable machine learning for predicting activities of daily living at discharge in stroke patients: A retrospective study using SHAP interpretability.#338685
- Explainable deep learning for healthcare workforce attrition: a methodological study on the Watson healthcare synthetic benchmark.#317944
- Translational Potential and Explainability of Artificial Intelligence-Based Clinical Decision Support for Adults in Intensive Care: A Scoping Review.#392809
Record · ID 199649
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