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Lee-or Alon, Hana Weitman, Alexander Shleyfman, and Gal A. Kaminka. Towards Explainable General Medication Planning. In Proceedings of the ECAI Workshop on Explainable AI in the Medical Domain (EXPLIMED), 2024.
The ability to produce explanations for automated systems in healthcare domains is crucial for establishing trust between users and the system. Despite the growing demand for explainable artificial intelligence in medical domains, to the best of our knowledge, there are no existing works on explainability for medication planning. In this work, we propose a visualization method for medication planning domains to make the automatic planning process transparent to users, thereby fostering the desired trust.
@inproceedings{explimed24ws,
title = {Towards Explainable General Medication Planning},
author = {Alon, {Lee-or} and Weitman, Hana and Shleyfman, Alexander and Kaminka, Gal A.},
booktitle = {Proceedings of the {ECAI} Workshop on Explainable AI in the Medical Domain ({EXPLIMED})},
note= {},
year = {2024},
abstract = { The ability to produce explanations for automated systems in healthcare domains is crucial for establishing trust between users and the system. Despite the growing demand for explainable artificial intelligence in medical domains, to the best of our knowledge, there are no existing works on explainability for medication planning. In this work, we propose a visualization method for medication planning domains to make the automatic planning process transparent to users, thereby fostering the desired trust. },
}
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