Decoding the complexity of tricuspid regurgitation prognostic drivers using explainable artificial intelligence

European Heart Journal Cardiovascular Imaging · Published 2026-06-27 · DOI 10.1093/ehjci/jeag168

Authors (10)

Gal Tsaban, Giovanni Benfari, Benjamin A Essayagh, Eunjung Lee, Manuel A Montoya Hernandez, Prabin Thapa, Vuyisile T Nkomo, Sorin V. Pislaru, Hector I Michelena, Maurice Enriquez-Sarano

Abstract

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Publication details

Year

2026

Citation

Tsaban, G., Benfari, G., Essayagh, B., et al. (2026). Decoding the complexity of tricuspid regurgitation prognostic drivers using explainable artificial intelligence. European Heart Journal Cardiovascular Imaging. https://doi.org/10.1093/ehjci/jeag168

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