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Proposed Requirements for Cardiovascular Imaging -Related Machine Learning Evaluation (PRIME) : A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council
| Reporting guideline provided for? (i.e. exactly what the authors state in the paper) |
Reporting of machine learning (ML) models in cardiovascular imaging studies. |
| Full bibliographic reference | Sengupta PP, Shrestha S, Berthon B, Messas E, Donal E, Tison GH, Min JK, D'hooge J, Voigt JU, Dudley J, Verjans JW, Shameer K, Johnson K, Lovstakken L, Tabassian M, Piccirilli M, Pernot M, Yanamala N, Duchateau N, Kagiyama N, Bernard O, Slomka P, Deo R, Arnaout R. Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council. JACC Cardiovasc Imaging. 2020;13(9):2017-2035. |
| Language | English |
| PubMed ID | 32912474 |
| Reporting guideline acronym | PRIME |
| Study design | Artificial intelligence/Machine learning studies |
| Clinical area | Cardiovascular medicine |
| Applies to the whole report or to individual sections of the report? | Data, Procedure/Method, Statistical methods and analyses |
| Record last updated on | January 25, 2024 |