Cargando…
Ethical considerations about artificial intelligence for prognostication in intensive care
BACKGROUND: Prognosticating the course of diseases to inform decision-making is a key component of intensive care medicine. For several applications in medicine, new methods from the field of artificial intelligence (AI) and machine learning have already outperformed conventional prediction models....
Autores principales: | Beil, Michael, Proft, Ingo, van Heerden, Daniel, Sviri, Sigal, van Heerden, Peter Vernon |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6904702/ https://www.ncbi.nlm.nih.gov/pubmed/31823128 http://dx.doi.org/10.1186/s40635-019-0286-6 |
Ejemplares similares
-
Comment on: Rethinking ICU readmission and timelimited trial in the contingency capacity
por: Beil, Michael, et al.
Publicado: (2022) -
Contribution of information about acute and geriatric characteristics to decisions about life-sustaining treatment for old patients in intensive care
por: Beil, Michael, et al.
Publicado: (2023) -
The management of multi-morbidity in elderly patients: Ready yet for precision medicine in intensive care?
por: Beil, Michael, et al.
Publicado: (2021) -
On predictions in critical care: The individual prognostication fallacy in elderly patients
por: Beil, Michael, et al.
Publicado: (2021) -
Alleviation of exhaustion-induced immunosuppression and sepsis by immune checkpoint blockers sequentially administered with antibiotics—analysis of a new mathematical model
por: Gillis, Avi, et al.
Publicado: (2019)