Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 114 pp. Englisch. Seller Inventory # 9783031482618

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Artificial Intelligence and Healthcare : The Impact of Algorithmic Bias on Health Disparities

Williams, Natasha H.

Published by Springer, 2024

ISBN 10: 3031482611 ISBN 13: 9783031482618

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Seller: GreatBookPricesUK, Woodford Green, United Kingdom

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Artificial Intelligence and Healthcare : The Impact of Algorithmic Bias on Health Disparities

Natasha H. Williams

Published by Springer International Publishing, 2024

ISBN 10: 3031482611 ISBN 13: 9783031482618

New Hardcover

Seller: AHA-BUCH GmbH, Einbeck, Germany

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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783031482618

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