DECIDE-Twin: A Framework for AI-Enabled Digital Twins in Clinical Decision-Making

Samira Abbasgholizadeh Rahimi, Ashkan Baradaran, Farbod Khameneifar, Geneviève Gore and Amalia M. Issa

Article (2024)

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Department:	Department of Mechanical Engineering
PolyPublie URL:	https://publications.polymtl.ca/61662/
Journal Title:	IEEE Journal of Biomedical and Health Informatics
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/jbhi.2024.3521717
Official URL:	https://doi.org/10.1109/jbhi.2024.3521717
Date Deposited:	03 Jan 2025 11:11
Last Modified:	03 Jan 2025 11:11

Cite in APA 7:	Rahimi, S. A., Baradaran, A., Khameneifar, F., Gore, G., & Issa, A. M. (2024). DECIDE-Twin: A Framework for AI-Enabled Digital Twins in Clinical Decision-Making. IEEE Journal of Biomedical and Health Informatics, 1-10. https://doi.org/10.1109/jbhi.2024.3521717
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