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Validation study of two artificial intelligence–based preplanning methods for transcatheter aortic valve replacement procedures

Denis Corbin, Marcel Santaló-Corcoy, Olivier Tastet, Patricia Lopes, Janelle Schrot, Thomas Modine, Anita Asgar, Frédéric Lesage and Walid Ben Ali

Article (2024)

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Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
1900 Biomedical engineering > 1901 Biomedical technology
1900 Biomedical engineering > 1902 Biomedical materials
2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering
2700 Information technology > 2713 Algorithms
2800 Artificial intelligence > 2800 Artificial intelligence (Computer vision, see 2603)
Department: Department of Electrical Engineering
Funders: Fond de Recherche du Québec - Santé - Personnel Hautement Qualifié
PolyPublie URL: https://publications.polymtl.ca/58193/
Journal Title: Journal of the Society for Cardiovascular Angiography & Interventions (vol. 3, no. 3)
Publisher: Elsevier
DOI: 10.1016/j.jscai.2023.101289
Official URL: https://doi.org/10.1016/j.jscai.2023.101289
Date Deposited: 21 May 2024 10:48
Last Modified: 22 May 2024 12:10
Cite in APA 7: Corbin, D., Santaló-Corcoy, M., Tastet, O., Lopes, P., Schrot, J., Modine, T., Asgar, A., Lesage, F., & Ali, W. B. (2024). Validation study of two artificial intelligence–based preplanning methods for transcatheter aortic valve replacement procedures. Journal of the Society for Cardiovascular Angiography & Interventions, 3(3), 101289 (2 pages). https://doi.org/10.1016/j.jscai.2023.101289

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