Sex and Gender Bias in Technology and Artificial Intelligence: Biomedicine and Healthcare Applications 1st Edition- Ebook PDF Instant Delivery – ISBN(s): 9780128213926,9780128213933,0128213922,0128213930
Product details:
- ISBN-10 : 0128213930
- ISBN-13 : 9780128213933
- Author: Davide Cirillo , Silvina Catuara Solarz , Emre Guney
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.
Table of contents:
Chapter 0: Introduction: The relevance of sex and gender in precision medicine and the role of technologies and artificial intelligence
Chapter 1: Implications of sex-specific differences on clinical studies of human health
Chapter 2: Sex and gender inequality in precision medicine: Socioeconomic determinants of health
Chapter 3: Bias and fairness in machine learning and artificial intelligence
Chapter 4: Big Data in healthcare from a sex and gender perspective
Chapter 5: Biases in digital health measures
Chapter 6: Sex and gender bias in natural language processing
Chapter 7: Sex differences in invasive and noninvasive neurotechnologies
Chapter 8: How gender is intertwined with robots and affective technologies: A short review
Chapter 9: A unified framework for managing sex and gender bias in AI models for healthcare
Chapter 10: Privacy issues in healthcare and their mitigation through privacy preserving technologies
Chapter 11: Societal and ethical impact of technologies for health and biomedicine
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