Machine Learning for Clinical Decision-Making: Challenges and Opportunities in Cardiovascular Imaging

The use of machine learning (ML) approaches to target clinical problems is called to revolutionize clinical decision-making in cardiology. The success of these tools is dependent on the understanding of the intrinsic processes being used during the conventional pathway by which clinicians make decis...

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Detalles Bibliográficos
Autores principales: Sanchez-Martinez, Sergio, Camara, Oscar, Piella, Gemma, Cikes, Maja, González-Ballester, Miguel Ángel, Miron, Marius, Vellido, Alfredo, Gómez, Emilia, Fraser, Alan G., Bijnens, Bart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764455/
https://www.ncbi.nlm.nih.gov/pubmed/35059445
http://dx.doi.org/10.3389/fcvm.2021.765693

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764455/
https://www.ncbi.nlm.nih.gov/pubmed/35059445
http://dx.doi.org/10.3389/fcvm.2021.765693

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