Cargando…
Co‐designing diagnosis: Towards a responsible integration of Machine Learning decision‐support systems in medical diagnostics
RATIONALE: This paper aims to show how the focus on eradicating bias from Machine Learning decision‐support systems in medical diagnosis diverts attention from the hermeneutic nature of medical decision‐making and the productive role of bias. We want to show how an introduction of Machine Learning s...
Autores principales: | Kudina, Olya, de Boer, Bas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8248235/ https://www.ncbi.nlm.nih.gov/pubmed/33480150 http://dx.doi.org/10.1111/jep.13535 |
Ejemplares similares
-
What is morally at stake when using algorithms to make medical diagnoses? Expanding the discussion beyond risks and harms
por: de Boer, Bas, et al.
Publicado: (2022) -
Accounting for the Moral Significance of Technology: Revisiting the Case of Non-Medical Sex Selection
por: Kudina, Olya
Publicado: (2018) -
Understanding Technology-Induced Value Change: a Pragmatist Proposal
por: van de Poel, Ibo, et al.
Publicado: (2022) -
Machine Learning and Decision Support in Critical Care
por: Johnson, Alistair E. W., et al.
Publicado: (2016) -
Editorial: Machine Learning and Decision Support in Stroke
por: Liebeskind, David S., et al.
Publicado: (2020)