Pascal Thériault-Lauzier, Denis Corbin, Olivier Tastet, Élodie Labrecque Langlais, Bahareh Taji, Guson Kang, Aun-Yeong Chong, Derek So, An Tang, Judy Wawira Gichoya, Sarath Chandar Anbil Parthipan, Pierre-Luc Déziel, Julie G. Hussin, Samuel Kadoury
and Robert Avram
Article (2024)
| Department: | Department of Computer Engineering and Software Engineering |
|---|---|
| PolyPublie URL: | https://publications.polymtl.ca/58690/ |
| Journal Title: | Canadian Journal of Cardiology |
| Publisher: | Elsevier |
| DOI: | 10.1016/j.cjca.2024.05.025 |
| Other DOIs related to this document: | 10.1016/j.cjca.2025.08.203 |
| Official URL: | https://doi.org/10.1016/j.cjca.2024.05.025 |
| Date Deposited: | 26 Jun 2024 12:51 |
| Last Modified: | 21 Oct 2025 15:23 |
| Cite in APA 7: | Thériault-Lauzier, P., Corbin, D., Tastet, O., Langlais, É. L., Taji, B., Kang, G., Chong, A.-Y., So, D., Tang, A., Gichoya, J. W., Anbil Parthipan, S. C., Déziel, P.-L., Hussin, J. G., Kadoury, S., & Avram, R. (2024). A responsible framework for applying artificial intelligence on medical images and signals at the point-of-care: the PACS-AI platform. Canadian Journal of Cardiology, 025 (39 pages). https://doi.org/10.1016/j.cjca.2024.05.025 |
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