Cargando…
Machine learning and artificial intelligence in cardiac transplantation: A systematic review
BACKGROUND: This review aims to systematically evaluate the currently available evidence investigating the use of artificial intelligence (AI) and machine learning (ML) in the field of cardiac transplantation. Furthermore, based on the challenges identified we aim to provide a series of recommendati...
Autores principales: | Naruka, Vinci, Arjomandi Rad, Arian, Subbiah Ponniah, Hariharan, Francis, Jeevan, Vardanyan, Robert, Tasoudis, Panagiotis, Magouliotis, Dimitrios E., Lazopoulos, George L., Salmasi, Mohammad Yousuf, Athanasiou, Thanos |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9545856/ https://www.ncbi.nlm.nih.gov/pubmed/35719121 http://dx.doi.org/10.1111/aor.14334 |
Ejemplares similares
-
Renal outcomes in valve‐in‐valve transcatheter versus redo surgical aortic valve replacement: A systematic review and meta‐analysis
por: Arjomandi Rad, Arian, et al.
Publicado: (2022) -
Mitral and tricuspid annuloplasty ring dehiscence: a systematic review with pooled analysis
por: Arjomandi Rad, Arian, et al.
Publicado: (2021) -
ChatGPT: revolutionizing cardiothoracic surgery research through artificial intelligence
por: Arjomandi Rad, Arian, et al.
Publicado: (2023) -
Comparative Analysis of Morbidity and Mortality Outcomes in Elderly and Nonelderly Patients Undergoing Elective TEVAR: A Systematic Review and Meta-Analysis
por: Frisiras, Angelos, et al.
Publicado: (2023) -
Demystifying the Value of Minimal Clinically Important Difference in the Cardiothoracic Surgery Context
por: Magouliotis, Dimitrios E., et al.
Publicado: (2023)