TY - BOOK ID - 103612935 TI - Sex and gender bias in technology and artificial intelligence : biomedicine and healthcare applications AU - Cirillo, Davide AU - Catuara Solarz, Silvina AU - Guney, Emre PY - 2022 SN - 0128213922 0128213930 9780128213933 9780128213926 PB - London : Academic Press, DB - UniCat KW - Sex discrimination in science. KW - Sex discrimination in medicine. KW - Artificial intelligence KW - Sex Factors. KW - Sexism KW - Biomedical Research KW - Research Design KW - Data Adjustment KW - Data Reporting KW - Design, Experimental KW - Designs, Experimental KW - Error Sources KW - Experimental Designs KW - Matched Groups KW - Methodology, Research KW - Problem Formulation KW - Research Methodology KW - Research Proposal KW - Research Strategy KW - Research Technics KW - Research Techniques KW - Scoring Methods KW - Experimental Design KW - Adjustment, Data KW - Adjustments, Data KW - Data Adjustments KW - Design, Research KW - Designs, Research KW - Error Source KW - Formulation, Problem KW - Formulations, Problem KW - Group, Matched KW - Groups, Matched KW - Matched Group KW - Method, Scoring KW - Methods, Scoring KW - Problem Formulations KW - Proposal, Research KW - Proposals, Research KW - Reporting, Data KW - Research Designs KW - Research Proposals KW - Research Strategies KW - Research Technic KW - Research Technique KW - Scoring Method KW - Source, Error KW - Sources, Error KW - Strategies, Research KW - Strategy, Research KW - Technic, Research KW - Technics, Research KW - Technique, Research KW - Techniques, Research KW - Research KW - Clinical Trials Data Monitoring Committees KW - Experimental Medicine KW - Investigational Medicine KW - Investigative Medicine KW - Research, Biomedical KW - Research, Medical KW - Medical Research KW - Medicine, Experimental KW - Medicine, Investigational KW - Medicine, Investigative KW - Animals, Laboratory KW - Gender Issues KW - Sex Discrimination KW - Gender Bias KW - Gender Discrimination KW - Sex Bias KW - Sexual Discrimination KW - Bias, Gender KW - Bias, Sex KW - Discrimination, Gender KW - Discrimination, Sex KW - Discrimination, Sexual KW - Factor, Sex KW - Factors, Sex KW - Sex Factor KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Medicine KW - Sexism in medicine KW - Science KW - Moral and ethical aspects. KW - methods KW - Sexism. KW - Sex bias KW - Attitude (Psychology) KW - Prejudices KW - Sex (Psychology) KW - Social perception KW - Sex role KW - Sex factors in disease. KW - Biology KW - Sex Factors KW - Artificial Intelligence KW - Technology Assessment, Biomedical KW - Research. UR - https://www.unicat.be/uniCat?func=search&query=sysid:103612935 AB - 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. ER -