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Titlebook: Artificial Intelligence and Healthcare; The Impact of Algori Natasha H. Williams Book 2023 The Editor(s) (if applicable) and The Author(s),

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Artificial Intelligence and Algorithmic Bias, treatment outcomes, and decrease patient mortality. To achieve these ambitious goals, AI depends upon massive streams of data from various sources. Section . defines AI. Section . describes data. Section . explores data and algorithmic bias. Section . discusses race-based algorithms. Section . summarizes key points in the chapter.
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What Are Health Disparities?,ities and their economic costs. Section . explains the social determinants of health and their impact on health. Section . justifies algorithmic bias as a social determinant of health. Section . summarizes key points in the chapter.
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,Rest – zwei Apps arbeiten Hand in Hand,it bias and how it may limit clinical trial participation and impact data quality. Section . defines implicit bias. Section . explores research on implicit bias. Section . discusses data bias and clinical trials. Section . summarizes key points in this chapter.
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