Encoding Bioethics (eBook)

AI in Clinical Decision-Making

Charles Binkley, Tyler Loftus (Autoren)

eBook Download: EPUB

2024
248 Seiten
University of California Press (Verlag)
978-0-520-39754-5 (ISBN)

Infos

Encoding Bioethics addresses important ethical concerns from the perspective of each of the stakeholders who will develop, deploy, and use artificial intelligence systems to support clinical decisions. Utilizing an applied ethical model of patient-centered care, this book considers the viewpoints of programmers, health system and health insurance leaders, clinicians, and patients when AI is used in clinical decision-making. The authors build on their respective experiences as a surgeon-bioethicist and a surgeon–AI developer to give the reader an accessible account of the relevant ethical considerations raised when AI systems are introduced into the physician-patient relationship.

Inhalt

Contents

List of Illustrations 
Preface 
Acknowledgments 

1. Introduction to AI Clinical Decision Support Systems:
Ethical Considerations

2. The Physician and AI Clinical Decision
Support Systems

3. The Patient and AI Clinical Decision
Support Systems

4. The Developer and AI Clinical Decision
Support Systems

5. The Health System Executive and AI Clinical
Decision Support Systems

6. Incorporating Ethics into the AI Clinical Decision
Support System Life Cycle

Notes 
Bibliography 
Index 
 

Produkt-Details

• Erscheint lt. Verlag: 11.6.2024
• Sprache: englisch
• Themenwelt: Naturwissenschaften
• Themenwelt: Sozialwissenschaften
• Schlagworte: ai systems • algorithms • Artificial Intelligence in Health Care • Bias • books for doctors • Case study • clinical decisions • Clinicians • Data • Ethical challenges • ethics • Mortality • Oncology • outcomes • patient health information • Physicians • training datasets • Trust
• ISBN-10: 0-520-39754-1 / 0520397541
• ISBN-13: 978-0-520-39754-5 / 9780520397545