Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist

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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Veröffentlicht in:	JACC. Cardiovascular imaging 2020-09, Vol.13 (9), p.2017-2035
Hauptverfasser:	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:	Artikel
Sprache:	eng
Schlagworte:	artificial intelligence cardiovascular imaging checklist Computer Science digital health machine learning Medical Imaging reporting guidelines reproducible research
Online-Zugang:	Volltext
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