Artificial Intelligence to Improve Risk Prediction with Nuclear Cardiac Studies

PURPOSE OF REVIEW: As machine learning-based artificial intelligence (AI) continues to revolutionize the way in which we analyze data, the field of nuclear cardiology provides fertile ground for the implementation of these complex analytics. This review summarizes and discusses the principles regard...

Descripción completa

Detalles Bibliográficos
Autores principales: Juarez-Orozco, Luis Eduardo, Klén, Riku, Niemi, Mikael, Ruijsink, Bram, Daquarti, Gustavo, van Es, Rene, Benjamins, Jan-Walter, Yeung, Ming Wai, van der Harst, Pim, Knuuti, Juhani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Nuclear Cardiology (V Dilsizian, Section Editor)
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852880/
https://www.ncbi.nlm.nih.gov/pubmed/35171443
http://dx.doi.org/10.1007/s11886-022-01649-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852880/
https://www.ncbi.nlm.nih.gov/pubmed/35171443
http://dx.doi.org/10.1007/s11886-022-01649-w

Ejemplares similares