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Springer AI and Healthcare - Algorithmic Bias Book

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Description

Explore the complex ethical challenges of artificial intelligence in medicine with this volume from Springer. As technologies like big data, precision medicine, and telemedicine revolutionize healthcare, they also bring risks of algorithmic bias. This book examines how these biases impact populations facing health disparities. It analyzes the historical roots of explicit and implicit bias, the role of social determinants of health, and the importance of including racial and ethnic minorities in medical data. Part of The International Library of Bioethics, this work provides a deep look at how modern medical advancements interact with social equity and data representation.

Key Features

This Springer publication examines the ethical problems of algorithmic bias within modern healthcare systems.

The text analyzes how historical explicit and implicit biases influence current medical technology and data.

Readers will learn about the impact of social determinants of health on the use of AI in medicine.

The book addresses the necessity of including racial and ethnic minorities in healthcare data sets.

This volume is part of The International Library of Bioethics, number 107, focusing on medical ethics.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
02 January 2024
Listed Since
10 October 2023

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No barcode data available

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