Gender Bias, Artificial Intelligence and Healthcare

Gender Bias, Artificial Intelligence and Healthcare details the integration of sex and gender as a factor in exponential technologies (artificial intelligence, digital medicine, robotics) for healthcare applications. By deeply reviewing existing scientific literature, an outstanding group of international experts analyze the multiple aspects of the complex relationship between innovative technologies, wellbeing, and gender, 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 gendering in 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. First comprehensive title addressing the topic of gender biases and artificial intelligence applications to healthcareCo-published by the Women's Brain Project, a leading non-profit organization in this areaGuides the reader through important topics like National Language Processing, Digital Biomarkers, and Clinical Trials and the Generation of Clinical Data INDICE: 1. The Women's Brain Project Maria Teresa Ferretti 2. Clinical Trials and Generation of Clinical Data Emre Guney 3. Socio-economical factors Nataly Buslón and Sandra Racionero 4. Desirable and Undesirable biases Davide Cirillo 5. Big Data Analytics Laia Subirats 6. Digital biomarkers Simona Mellino 7. Natural Language Processing Davide Cirillo 8. Robots, IoT, and Affective technologies Nikolaos Mavridis 9. Identifying, Explaining and Mitigating Bias Roberto Confalonieri 10. Privacy Preserving AI Ladina Caduff 11. Ethics Átia Cortés 12. Conclusion Emre Guney

• ISBN: 978-0-12-821392-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 270
• Fecha Publicación: 01/08/2021
• Nº Volúmenes: 1
• Idioma: Inglés