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ebc item NOTICE: This is the ProQuest Ebook Central� format of this title. What is ProQuest Ebook Central�?
Other formats: Softcover All Formats

Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications

Cirillo, Davide
Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications Cover Image
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Book Information
Edition: 1st
Publisher: Academic Press, Incorporated
ISBN: 0-12-821393-0 (0128213930)
ISBN-13: 978-0-12-821393-3 (9780128213933)
Binding: E E Book + ProQuest Ebook Central
Copyright: 2022
Publish Date: 06/22
Weight: 0.00 Lbs.
Subject Class: NEU (Neurology and Neuroscience)
Return Policy: Non-Returnable.
   
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Class Specifications
Discipline: Medical Prof
Subject Definition: Sex Factors; Sexism; Biomedical Research; Research Design
NLM Class: W 20.5
LC Class: R852
Abstract: Gender Bias, Artificial Intelligence and Healthcare details the integration of sex and gender as a factor in exponential technologies (artificial intelligence, digital medicine, robotics) for healthcare applications. By deeply reviewing existing scientific literature, an outstanding group of international experts analyze the multiple aspects of the complex relationship between innovative technologies, wellbeing, and gender, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of gendering in healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies. First comprehensive title addressing the topic of gender biases and artificial intelligence applications to healthcareCo-published by the Women's Brain Project, a leading non-profit organization in this areaGuides the reader through important topics like National Language Processing, Digital Biomarkers, and Clinical Trials and the Generation of Clinical Data
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