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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.

Sex discrimination in science. --- Sex discrimination in medicine. --- Artificial intelligence --- Sex Factors. --- Sexism --- Biomedical Research --- Research Design --- Data Adjustment --- Data Reporting --- Design, Experimental --- Designs, Experimental --- Error Sources --- Experimental Designs --- Matched Groups --- Methodology, Research --- Problem Formulation --- Research Methodology --- Research Proposal --- Research Strategy --- Research Technics --- Research Techniques --- Scoring Methods --- Experimental Design --- Adjustment, Data --- Adjustments, Data --- Data Adjustments --- Design, Research --- Designs, Research --- Error Source --- Formulation, Problem --- Formulations, Problem --- Group, Matched --- Groups, Matched --- Matched Group --- Method, Scoring --- Methods, Scoring --- Problem Formulations --- Proposal, Research --- Proposals, Research --- Reporting, Data --- Research Designs --- Research Proposals --- Research Strategies --- Research Technic --- Research Technique --- Scoring Method --- Source, Error --- Sources, Error --- Strategies, Research --- Strategy, Research --- Technic, Research --- Technics, Research --- Technique, Research --- Techniques, Research --- Research --- Clinical Trials Data Monitoring Committees --- Experimental Medicine --- Investigational Medicine --- Investigative Medicine --- Research, Biomedical --- Research, Medical --- Medical Research --- Medicine, Experimental --- Medicine, Investigational --- Medicine, Investigative --- Animals, Laboratory --- Gender Issues --- Sex Discrimination --- Gender Bias --- Gender Discrimination --- Sex Bias --- Sexual Discrimination --- Bias, Gender --- Bias, Sex --- Discrimination, Gender --- Discrimination, Sex --- Discrimination, Sexual --- Factor, Sex --- Factors, Sex --- Sex Factor --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Medicine --- Sexism in medicine --- Science --- Moral and ethical aspects. --- methods --- Sexism. --- Sex bias --- Attitude (Psychology) --- Prejudices --- Sex (Psychology) --- Social perception --- Sex role