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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https://doi.org/10.1007/978-3-658-45853-9 the treatment of disease. These technologies, especially AI, promise to advance the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. To achieve these ambitious goals, AI depends upon massive streams of data from various sources. S

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,Rest – zwei Apps arbeiten Hand in Hand,alth care provider implicit bias may contribute to health disparities because it influences clinical, diagnostic and treatment decisions, patient-provider communication, patient adherence to treatment recommendations, and treatment outcomes. Moreover, implicit bias may lead to different clinical dec

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Aspektorientierte Programmierung (AOP),hnology suffers with issues of biased data. Therefore, its usefulness as an instrument to reduce health disparities and improve the health of racial and ethnic minority groups is questionable. Implicit bias, explicit bias, missing data, and the lack of representation and diversity in datasets impact

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Arnold Lohaus,Marc Vierhaus,Sakari Lemolahapter discusses past and current regulatory proposals on artificial intelligence. Section . examines the artificial intelligence regulation debate. Section . focuses on the United States government’s attempts to legislate artificial intelligence. Section . highlights the regulatory guidance from U.

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https://doi.org/10.1007/978-3-031-48262-5Ethics; Artificial Intelligence in Health Care; Natural Language Processing; Machine Learning; Deep Lear

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