Artificial Intelligence and Healthcare
The Impact of Algorithmic Bias on Health Disparities
Series: The International Library of Bioethics; 107;
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48 811 Ft
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Product details:
- Edition number 1st ed. 2023
- Publisher Springer International Publishing
- Date of Publication 2 January 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031482618
- Binding Hardback
- No. of pages114 pages
- Size 235x155 mm
- Weight 360 g
- Language English
- Illustrations X, 114 p. 6 illus., 5 illus. in color. Illustrations, black & white 525
Categories
Long description:
This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers,ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.
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Table of Contents:
Chapter 1. Artificial Intelligence and Algorithmic Bias.- Chapter 2. What are Health Disparities.- Chapter 3. The Inclusion of Racial and Ethnic Minority Groups Participation in Clinical Trials.- Chapter 4. The Impact of Implicit Bias on Data Diversity.- Chapter 5. Will Artificial Intelligence Improve Health Disparities?.- Chapter 6. Artificial Intelligence and Health Disparities: Policy, Regulation, and Implications.
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