Sex and Gender Bias in Technology and Artificial Intelligence

This PDF book is become immediate popular in Medical genre. Sex and Gender Bias in Technology and Artificial Intelligence is written by famous author Davide Cirillo and Ready to Download in ePUB, PDF or Kindle formats. Released by Academic Press in 2022-05-21. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Sex and Gender Bias in Technology and Artificial Intelligence book.

Sex and Gender Bias in Technology and Artificial Intelligence
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Publisher : Academic Press
Release Date :
ISBN : 9780128213933
Pages : 278 pages
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Sex and Gender Bias in Technology and Artificial Intelligence by Davide Cirillo Book PDF Summary

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. 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


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