Machine Learning in Medical Diagnosis: A Framework for a Normative Evaluation of Benefits and Risks

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Leslye Denisse Dias Duran

Machine Learning in Medical Diagnosis

A Framework for a Normative Evaluation of Benefits and Risks

Leslye Denisse Dias Duran

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English

J.B. Metzler
10 June 2025

Ethical issues: scientific & technological developments; Medical ethics & professional conduct; Medical diagnosis; Machine learning

Series: Neue Wege der Angewandten Ethik / New Pathways of Applied Ethics

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.

By: Leslye Denisse Dias Duran
Imprint: J.B. Metzler
Country of Publication: Germany
Dimensions: Height: 210mm, Width: 148mm,
ISBN: 9783662713563
ISBN 10: 366271356X
Series: Neue Wege der Angewandten Ethik / New Pathways of Applied Ethics
Pages: 242
Publication Date: 10 June 2025
Audience: Professional and scholarly , College/higher education , Undergraduate , Further / Higher Education
Format: Paperback
Publisher's Status: Active

Machine Learning in Medical Diagnosis: The Chances.- The Gaps at the Intersection of Healthcare, Machine Learning and Ethics.- Normative Foundations of the Rights-Based Approach.- The Ecosystem of Constellations.- Conclusion.

Leslye Denisse Dias Duran received her Ph.D. from the Chair of Applied Ethics at the Faculty of Philosophy at the Ruhr-Universität Bochum, Germany.