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

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

AimsDesign to develop an artificial intelligence (AI) algorithm to accurately predict the pulmonary artery pressure (PAP) waveform using non-invasive signal inputs.Methods and resultsWe randomly sampled training, validation, and testing datasets from a waveform database containing 180 patients with...

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Bibliographic Details
Main Authors:	Jianwei Zheng, Islam Abudayyeh, Georgi Mladenov, Daniele Struppa, Guohua Fu, Huimin Chu, Cyril Rakovski
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-08-01
Series:	Frontiers in Cardiovascular Medicine
Subjects:	heart failure pulmonary artery pressure noninvasive artificial intelligence computational modeling methods
Online Access:	https://www.frontiersin.org/articles/10.3389/fcvm.2022.855356/full

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