
Sex and Gender Bias in Technology and Artificial Intelligence
Biomedicine and Healthcare Applications
Resources
Description
Key Features
- First comprehensive title addressing the topic of sex and gender biases and artificial intelligence applications to biomedical research and healthcare
- Co-published by the Women’s Brain Project, a leading non-profit organization in this area
- Guides the reader through important topics like the Generation of Clinical Data, Clinical Trials, Big Data Analytics, Digital Biomarkers, Natural Language Processing
Readership
Researchers, advanced graduate students, bioengineers, digital therapeutic product developers, and clinicians in the fields of neuroscience, psychiatry, biomedicine, and computer science. Regulators and policy makers
Table of Contents
Introduction
Silvina Catuara-Solarz, Davide Cirillo, Emre Guney
1. The Women’s Brain Project
Maria Teresa Ferretti, Antonella Santuccione Chadha and Simona Mellino
Section 1. Sex and gender differences and Precision Medicine
2. Implications of sex-specific differences on clinical studies of human health
Janet Piñero, Frances-Catherine Quevenco, Laura Furlong and Emre Guney
3. Socio-economic factors
Nataly Buslón, Sandra Racionero and Àtia Cortés
Section 2. Biases in innovative technologies for Biomedicine and Health
4. Bias and fairness in machine learning and artificial intelligence
Davide Cirillo and María José Rementeria
5. Big Data in healthcare from a sex/gender perspective
Laia Subirats and Gemma Piella
6. Biases in digital biomarkers and Mobile Health
Simona Mellino, Czuee Morey and Colin Rohner
7. Sex and Gender bias in Natural Language Processing
Davide Cirillo, Hila Gonen, Enrico Santus, Alfonso Valencia, Marta R. Costa-jussà and Marta Villegas
8. Sex and gender differences in Invasive and non invasive neurotechnologies
Laura Dubreuil Vall, Tracy Laabs, Harris Eyre, Erin Smith and Silvina Catuara Solarz
9. Robots and Affective technologies
Nikolaos Mavridis
Section 3. Towards Precision Technology
10. A unified framework for managing sex and gender bias in AI models for Healthcare
Roberto Confalonieri, Federico Lucchesi, Giovanni Maffei and Silvina Catuara Solarz
11. Privacy Preserving AI
Ladina Caduff, Gianluca Diana, Cornelia Kutterer and Spyridon Papasotiriou
12. Ethics & Society (Societal and Ethical Impact of technologies for Health and Biomedicine)
Àtia Cortés, Liliana Arroyo and Nataly Buslón
13. Conclusion
Emre Guney, Davide Cirillo, Silvina Catuara-Solarz
Product details
- No. of pages: 278
- Language: English
- Copyright: © Academic Press 2022
- Published: May 30, 2022
- Imprint: Academic Press
- Hardcover ISBN: 9780128213926
About the Editors
Davide Cirillo
Affiliations and Expertise
Silvina Catuara Solarz
Affiliations and Expertise
Emre Guney
Affiliations and Expertise
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