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  • 1
    UID:
    almahu_9949697951902882
    Format: 1 online resource (280 pages)
    Edition: First edition.
    ISBN: 0-12-821393-0
    Content: Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, 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 sex and gender in biomedical research and 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 and more effective clinical approaches.
    Note: The Women's Brain Project -- Chapter 0: Introduction: The relevance of sex and gender in precision medicine and the role of technologies and artificial ... -- Section 1: Sex and gender differences and precision medicine -- Section 2: Biases in innovative technologies for biomedicine and health -- Section 3: Toward precision technology -- Conclusion: Toward sex- and gender-stratified precision medicine
    Additional Edition: Print version: Cirillo, Davide Sex and Gender Bias in Technology and Artificial Intelligence San Diego : Elsevier Science & Technology,c2022 ISBN 9780128213926
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    UID:
    edocfu_9960751324202883
    Format: 1 online resource (280 pages)
    Edition: First edition.
    ISBN: 0-12-821393-0
    Content: Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, 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 sex and gender in biomedical research and 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 and more effective clinical approaches.
    Additional Edition: Print version: Cirillo, Davide Sex and Gender Bias in Technology and Artificial Intelligence San Diego : Elsevier Science & Technology,c2022 ISBN 9780128213926
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    UID:
    edoccha_9960751324202883
    Format: 1 online resource (280 pages)
    Edition: First edition.
    ISBN: 0-12-821393-0
    Content: Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, 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 sex and gender in biomedical research and 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 and more effective clinical approaches.
    Additional Edition: Print version: Cirillo, Davide Sex and Gender Bias in Technology and Artificial Intelligence San Diego : Elsevier Science & Technology,c2022 ISBN 9780128213926
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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