Full Description
This book provides a thorough exploration of the intersection between gender-based healthcare disparities and the transformative potential of artificial intelligence (AI) and machine learning (ML). 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 ML are actively reshaping gender-based healthcare and offers examples that showcase tangible outcomes and the impact of technology in healthcare settings. The book delves into the ethical considerations surrounding the use of AI and ML in healthcare and addresses issues related to privacy, bias, and responsible technology implementation. Empasis is placed on patient-centered care, and the book discusses how technology empowers individuals to actively participate in their healthcare decisions and promotes 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.
Contents
1. AI and Machine Learning in Modern Healthcare. 2. Revolutionizing Gender-Specific Healthcare: Harnessing Deep Learning for Transformative Solutions. 3. From Data to Diagnosis: AI's Role in Gender-Responsive Care. 4. Technology-Driven Approaches to Gender Inclusive Healthcare. 5. Unlocking Gender-Based Health Insights with Predictive Analytics. 6. Machine Learning's Precision in Tailoring Healthcare Solutions. 7. Real-World Success Stories How Technology Transforms Gender Healthcare. 8. Patient-Centric Technology Empowerment. 9. Exploring Cutting-Edge Technologies Shaping Gender Health. 10. Safeguarding Data and Ensuring Security in Digital Healthcare. 11. AI and ML Fundamentals: A Primer for Healthcare Professionals. 12. Early Ethical Considerations and Societal Impacts on Gender Health. 13. Examination of AI's role in Diagnosis, Treatment, and Patient care. 14. Future Trends and Ethical Challenges in Transforming Gender Health Care Using AI and ML.
