Abstract
This paper introduces CUE-X, a novel evaluation framework designed to automatically assess the clinical usefulness of explanations generated by decision support systems for managing multimorbidity. CUE-X uses three evaluation dimensions: patient case relevance, evidence support, and comprehension. A prospective evaluation study involving Canadian and American physicians demonstrated the framework’s feasibility and showed alignment between CUE-X evaluations and physician assessments. These findings contribute to research on integrating human-centered evaluation metrics into the XAI field, paving the way for improving the uptake of decision support systems in clinical practice.
| Original language | English (US) |
|---|---|
| Title of host publication | Artificial Intelligence in Medicine - 23rd International Conference, AIME 2025, Proceedings |
| Editors | Riccardo Bellazzi, Lucia Sacchi, José Manuel Juarez Herrero, Blaž Zupan |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 293-303 |
| Number of pages | 11 |
| ISBN (Print) | 9783031958373 |
| DOIs | |
| State | Published - 2025 |
| Event | 23rd International Conference on Artificial Intelligence in Medicine, AIME 2025 - Pavia, Italy Duration: Jun 23 2025 → Jun 26 2025 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Volume | 15734 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 23rd International Conference on Artificial Intelligence in Medicine, AIME 2025 |
|---|---|
| Country/Territory | Italy |
| City | Pavia |
| Period | 6/23/25 → 6/26/25 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.