This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of AI and Machine Learning. It covers a wide range of topics from fundamental concepts to practical applications.

Transforming Gender-Based Healthcare with AI and Machine Learning incorporates real-world case studies and success stories to illustrate how AI and Machine Learning are actively reshaping gender-based healthcare. Examples that showcase tangible outcomes and the impact of technology in healthcare settings are included. The book delves into the ethical considerations surrounding the use of AI and Machine Learning in healthcare and addresses issues related to privacy, bias, and responsible technology implementation. Empasis is placed on patient-centered care, with the book exploring how technology enables individuals to take an active role in their healthcare decisions. This leads to a more engaged and informed patient population.

Written to encourage interdisciplinary collaboration and highlight the importance of cooperation between health professionals, technologies, researchers, and policymakers, this book portrays how this collaborative approach is essential for achieving transformative goals and is not only for professionals but can also be used at the student level as well.

Book Information
ISBN 9781032752105
Author Meenu Gupta
Format Hardback
Page Count 304
Imprint CRC Press
Publisher Taylor & Francis Ltd