An artificial intelligence-based noninvasive solution to estimate pulmonary artery pressure

AIMS: Design to develop an artificial intelligence (AI) algorithm to accurately predict the pulmonary artery pressure (PAP) waveform using non-invasive signal inputs. METHODS AND RESULTS: We randomly sampled training, validation, and testing datasets from a waveform database containing 180 patients...

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Detalles Bibliográficos
Autores principales: Zheng, Jianwei, Abudayyeh, Islam, Mladenov, Georgi, Struppa, Daniele, Fu, Guohua, Chu, Huimin, Rakovski, Cyril
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448961/
https://www.ncbi.nlm.nih.gov/pubmed/36093166
http://dx.doi.org/10.3389/fcvm.2022.855356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9448961/
https://www.ncbi.nlm.nih.gov/pubmed/36093166
http://dx.doi.org/10.3389/fcvm.2022.855356

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