Predicting post-operative right ventricular failure using video-based deep learning

Predicting post-operative right ventricular failure using video-based deep learning

The echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves, but its rich temporally resolved data remain underutilized. Here, the authors develop a video AI system trained to predict post-operative right ventricular failure.

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Detalles Bibliográficos
Autores principales: Rohan Shad, Nicolas Quach, Robyn Fong, Patpilai Kasinpila, Cayley Bowles, Miguel Castro, Ashrith Guha, Erik E. Suarez, Stefan Jovinge, Sangjin Lee, Theodore Boeve, Myriam Amsallem, Xiu Tang, Francois Haddad, Yasuhiro Shudo, Y. Joseph Woo, Jeffrey Teuteberg, John P. Cunningham, Curtis P. Langlotz, William Hiesinger
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/b505d01868f146ffbab6d3814a231757
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Descripción
Sumario:The echocardiogram allows for a comprehensive assessment of the cardiac musculature and valves, but its rich temporally resolved data remain underutilized. Here, the authors develop a video AI system trained to predict post-operative right ventricular failure.

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