Cargando…
Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?
We argue why interpretability should have primacy alongside empiricism for several reasons: first, if machine learning (ML) models are beginning to render some of the high-risk healthcare decisions instead of clinicians, these models pose a novel medicolegal and ethical frontier that is incompletely...
Autores principales: | Yoon, Chang Ho, Torrance, Robert, Scheinerman, Naomi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9411871/ https://www.ncbi.nlm.nih.gov/pubmed/34006600 http://dx.doi.org/10.1136/medethics-2020-107102 |
Ejemplares similares
-
Substance over style: is there something wrong with abandoning the white coat?
por: Palacios-González, César, et al.
Publicado: (2015) -
Abandoning the dead donor rule? A national survey of public views on death and organ donation
por: Nair-Collins, Michael, et al.
Publicado: (2015) -
Using biomarkers in acute medicine to prevent hearing loss: should this require specific consent?
por: Coulson-Smith, Peta, et al.
Publicado: (2020) -
Should we be Royal?
por: Kealy-Bateman, Warren, et al.
Publicado: (2021) -
Exploring the Legacies of Filmed Patient Narratives: The Interpretation and Appropriation of Patient Films by Health Care Staff
por: Adams, Mary, et al.
Publicado: (2015)