Téléchargez le livre : Machine Learning in Medical Diagnosis

Machine Learning in Medical Diagnosis

A Framework for a Normative Evaluation of Benefits and Risks de

Éditeur :

J.B. Metzler


Paru le : 2025-06-09

eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
94,94 €
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

badge apple Application Louise Reader
badge Android Application Louise Reader
Description

This book seeks to navigate between the optimism that has arisen from the promise of the potential of machine learning (ML) in healthcare, and the lack of clarity about what realistic risks and benefits we can foresee. Its main aim is to develop a relational, rights-based normative approach to evaluating the distribution of burdens and benefits of implementing ML in medical diagnosis. This framework, called the "Ecosystem of Moral Constellations", assumes that every person has an equal claim to the fundamental rights necessary to lead one’s life, but recognizes that there may be conflicting interests that risk violating or infringing the rights of an individual or individuals, and that therefore an assessment of these tensions requires a situational prioritization of certain rights over others. This framework proposes to consider the normative relevance of relationships at different points of moral engagement to assess the potential tensions between these burdens and benefits of these technologies. The author argues that decisions about the implementation of AI systems require more than an assessment of technical feasibility. Instead, it is imperative to consider the different normative goals and interests of the actors involved, the material capabilities of the tools, and the role they should play in the clinical workflow.
Pages
242 pages
Collection
n.c
Parution
2025-06-09
Marque
J.B. Metzler
EAN papier
9783662713563
EAN PDF
9783662713570
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
4680 Ko
Prix
94,94 €
EAN EPUB
9783662713570
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
1362 Ko
Prix
94,94 €

Suggestions personnalisées