Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council

Machine Learning (ML) has been increasingly used within cardiology, particularly in the domain of cardiovascular imaging. Due to the inherent complexity and flexibility of ML algorithms, inconsistencies in the model performance and interpretation may occur. Several review articles have been recently...

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Udgivet i:JACC Cardiovasc Imaging
Main Authors: Sengupta, Partho P., Shrestha, Sirish, Berthon, Béatrice, Messas, Emmanuel, Donal, Erwan, Tison, Geoffrey H., Min, James K., D’hooge, Jan, Voigt, Jens-Uwe, Dudley, Joel, Verjans, Johan W., Shameer, Khader, Johnson, Kipp, Lovstakken, Lasse, Tabassian, Mahdi, Piccirilli, Marco, Pernot, Mathieu, Yanamala, Naveena, Duchateau, Nicolas, Kagiyama, Nobuyuki, Bernard, Olivier, Slomka, Piotr, Deo, Rahul, Arnaout, Rima
Format: Artigo
Sprog:Inglês
Udgivet: 2020
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Article
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7953597/
https://ncbi.nlm.nih.gov/pubmed/32912474
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jcmg.2020.07.015
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