Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study

The proposed method enables the reconstruction of the RV pressure curve using only the peak value as input. Thus, it may serve as a fundamental component for developing new echocardiographic tools targeting the afterload-adjusted assessment of RV function.

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Publication Details

Journal
European Heart Journal - Imaging Methods and Practice
Published
2024-09-23
DOI
https://doi.org/10.1093/ehjimp/qyae099
Citations
6
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
Field-Weighted Citation Impact
2.51

Funders

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article

Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study

Márton Tokodi, Alexandra Fábián, Bálint Károly Lakatos, Luigi Paolo Badano et al.
6 citations
European Heart Journal - Imaging Methods and Practice
Pulmonary Hypertension Research and Treatments
2.51
article

Artificial intelligence-enabled reconstruction of the right ventricular pressure curve using the peak pressure value: a proof-of-concept study

Márton Tokodi, Alexandra Fábián, Bálint Károly Lakatos, Luigi Paolo Badano, Mihai V. Podgoreanu, Denisa Muraru, Claudia Baratto, Zoltán Tősér, Alina Nicoara, Attila D Kovács, András Sárkány, Michele Tomaselli, Ádám Szijártó, Sergio Caravita, Béla Péter Merkely
article en
6 citations

Abstract

The proposed method enables the reconstruction of the RV pressure curve using only the peak value as input. Thus, it may serve as a fundamental component for developing new echocardiographic tools targeting the afterload-adjusted assessment of RV function.

European Heart Journal - Imaging Methods and PracticeVol. 2(4)
Semmelweis University (HU), University of Bergamo (IT), Argus International (United States) (US), Duke Medical Center (US), IRCCS Istituto Auxologico Italiano (IT), Duke University Hospital (US), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Milano-Bicocca (IT)
European Commission, Ministero della Salute, Magyar Tudományos Akadémia, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Openalex Percentile: Top 10%
Pulmonary Hypertension Research and Treatments
2.51
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