XAI-Eval: A framework for comparative evaluation of explanation methods in healthcare
This work provides a practical framework for systematically assessing explanation methods in healthcare. It offers actionable guidance for selecting appropriate and trustworthy techniques, supporting safe and transparent deployment of machine learning models in sensitive, real-world environments.
Authors
- Krish Agrawal
- Nada Ahmed (ORCID: https://orcid.org/0000-0003-2387-1151)
- Radwa El Shawi (ORCID: https://orcid.org/0000-0002-5679-9099)
Institutions
- Princess Nourah bint Abdulrahman University (SA)
- University of Tartu (EE)
- Indian Institute of Technology Indore (IN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251368045
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 0.00