Assessment of fractional flow reserve in intermediate coronary stenosis using optical coherence tomography-based machine learning

OBJECTIVES: This study aimed to evaluate and compare the diagnostic accuracy of machine learning (ML)- fractional flow reserve (FFR) based on optical coherence tomography (OCT) with wire-based FFR irrespective of the coronary territory. BACKGROUND: ML techniques for assessing hemodynamics features i...

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Detalles Bibliográficos
Autores principales: Cha, Jung-Joon, Nguyen, Ngoc-Luu, Tran, Cong, Shin, Won-Yong, Lee, Seul-Gee, Lee, Yong-Joon, Lee, Seung-Jun, Hong, Sung-Jin, Ahn, Chul-Min, Kim, Byeong-Keuk, Ko, Young-Guk, Choi, Donghoon, Hong, Myeong-Ki, Jang, Yangsoo, Ha, Jinyong, Kim, Jung-Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905417/
https://www.ncbi.nlm.nih.gov/pubmed/36760568
http://dx.doi.org/10.3389/fcvm.2023.1082214

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905417/
https://www.ncbi.nlm.nih.gov/pubmed/36760568
http://dx.doi.org/10.3389/fcvm.2023.1082214

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