Online-Ressource | |
Titel: | Sex and gender bias in technology and artificial intelligence |
Titelzusatz: | biomedicine and healthcare applications |
Mitwirkende: | Cirillo, Davide [HerausgeberIn] |
Catuara-Solarz, Silvina [HerausgeberIn] | |
Guney, Emre [HerausgeberIn] | |
Verf.angabe: | edited by Davide Cirillo, Silvina Catuara-Solarz, Emre Guney |
Verlagsort: | London ; San Diego, CA ; Cambridge, MA ; Kidlington, Oxford |
Verlag: | Academic Press, an imprint of Elsevier |
E-Jahr: | 2022 |
Jahr: | [2022] |
Umfang: | 1 Online-Ressource (xxv, 252 Seiten) |
Illustrationen: | Illustrationen |
Gesamttitel/Reihe: | WBP book series |
ISBN: | 978-0-12-821393-3 |
Abstract: | 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 |
DOI: | doi:10.1016/C2019-0-01682-2 |
URL: | Volltext: https://www.sciencedirect.com/science/book/9780128213926 |
Volltext: https://doi.org/10.1016/C2019-0-01682-2 | |
DOI: https://doi.org/10.1016/C2019-0-01682-2 | |
Schlagwörter: | (s)Künstliche Intelligenz / (s)Forschung / (s)Geschlecht |
(s)Gender-Medizin / (s)Biomedizin / (s)Geschlechtsunterschied | |
Datenträger: | Online-Ressource |
Sprache: | eng |
Bibliogr. Hinweis: | Erscheint auch als : Druck-Ausgabe: Sex and gender bias in technology and artificial intelligence. - Amsterdam : Academic Press, 2022. - xxv, 252 Seiten |
Sach-SW: | Maladies - Facteurs sexuels |
Discrimination sexuelle en medecine | |
Discrimination sexuelle dans les sciences | |
Discrimination sexuelle en médecine | |
Intelligence artificielle - Aspect moral | |
Artificial intelligence - Moral and ethical aspects | |
Sex discrimination in medicine | |
Sex discrimination in science | |
K10plus-PPN: | 1805563866 |
Lokale URL UB: | Zum Volltext |
Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg | |
Bestellen/Vormerken für Benutzer des Klinikums Mannheim Eigene Kennung erforderlich | |
Bibliothek/Idn: | UW / m4459308177 |
Lokale URL Inst.: | Zum Volltext |