Machine Learning in Medical Diagnosis

A Framework for a Normative Evaluation of Benefits and Risks
Erscheinungsjahr 2025
ISBN: 978-3-662-71356-3
Verlag: Springer

Buch, Englisch, 242 Seiten, Format (B × H): 148 mm x 210 mm, Gewicht: 346 g

Reihe: 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.

Zielgruppe

Research

Autoren/Hrsg.

Dias Duran, Leslye Denisse

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Telemedizin, e-Health
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Geisteswissenschaften Philosophie Angewandte Ethik & Soziale Verantwortung Medizinische Ethik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Ethik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.