AI-Based Nutritional Intervention in Polycystic Ovary Syndrome (PCOS)
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 12 March 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819621194
- Binding Hardback
- No. of pages330 pages
- Size 235x155 mm
- Language English
- Illustrations XIII, 330 p. 61 illus., 55 illus. in color. Illustrations, black & white 644
Categories
Long description:
This book provides an overview of AI-powered nutritional interventions for the management of Polycystic Ovary Syndrome (PCOS). It focuses on AI-driven diagnostics for swift and accurate PCOS identification, personalized nutrition plans integrating genetic and hormonal data, and behavioral interventions promoting adherence. The book bridges the gap between technological innovation and clinical practice, leading to a new era of precision medicine in women's health.
Chapters cover information from AI-tailored nutrition plans to suit individual PCOS profiles to insights into micronutrients, macronutrients, and dietary choices. They also address glycemic control, hormonal balance, and holistic wellness. Further chapters cover the ethical dimensions of AI in healthcare while championing patient empowerment. It also provides real-time monitoring through wearable tech and ethical considerations surrounding AI implementation in healthcare. The book includes real-life success stories, case studies, and practical guidance to aid decision-making.
The book is relevant for healthcare professionals, gynecologists, nutritionists, and researchers to harness artificial intelligence’s potential in optimizing women's health and well-being.
MoreTable of Contents:
.- Introduction to Polycystic Ovary Syndrome (PCOS) and Nutritional Challenges.
.- Traditional Dietary Approaches for PCOS: A Review of Conventional Dietary Recommendations for PCOS and their Limitations.
.- The Role of Nutrients in PCOS: An Exploration Of Key Nutrients and their Impact on PCOS Symptoms.
.- AI powered Personalized Nutrition: How AI can customize Nutritional Plans based on Individual PCOS Profiles.
.- Unlocking Gender-Based Health Insights with Predictive Analytics.
.- Tacking Nutrient intake with AI: How AI can help Monitor and Optimize Nutrient Consumption.
.- Glycemic Control and Insulin Management: The Role of AI in Glycemic Index Control and Insulin Regulation.
.- Hormone Balancing Through Nutrition: Nutritional Strategies and AI Tools to balance Hormones Associated with PCOS.
.- Micronutrient Optimization: An in-depth look at Vitamins and Minerals critical for PCOS Management and AI’s Role in ensuring adequate intake.
.- Supplements and Herbal Remedies: An Exploration of Nutritional Supplements and Herbal Remedies for PCOS and AI’s Role in Personalized Recommendations.
.- Ethical Aspects of AI Nutrition: Discussion of Ethical Considerations related to AI-based Nutritional Guidance in terms of Privacy, Data Security and Potential Biases.
.- Mobile Applications and Wearable in PCOS Nutrition: mHealth Solutions and Personalized Health Monitoring.
.- Human-Artificial Intelligence Collaborations in Polycystic Ovary Syndrome (PCOS) Clinical Trials and Research.
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