AI-Based Nutritional Intervention in Polycystic Ovary Syndrome (PCOS)

by Rakesh Kumar (Editor), Meenu Gupta (Editor), Anand Nayyar (Editor)

Overview

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.

Product Details

ISBN-13:	9789819621194
Publisher:	Springer Nature Singapore
Publication date:	03/12/2025
Pages:	330
Product dimensions:	6.10(w) x 9.25(h) x (d)

About the Author

Dr. Rakesh Kumar is a Professor at the department of computer science and engineering, Chandigarh University, India. He completed his Ph.D. in computer science and engineering from Punjab Technical University, Jalandhar. Dr. Kumar’s research interests include the internet of things (IoT), machine learning, and natural language processing. He has published over 80 papers in peer-reviewed national and international journals, authored books, and reviewed for journals including Big Data, CMC, Scientific Reports, and Tech Science Press (TSP). Dr. Kumar is also an organizer and editor of many international conferences under the aegis of Electrical and Electronics Engineers (IEEE) and the American Institute of Physics (AIP).

Dr. Meenu Gupta is an associate professor at the department of computer science and engineering, Chandigarh University, India. She completed her Ph.D. in computer science and engineering with an emphasis on traffic accident severity problems from Ansal University, Gurgaon, India. Dr. Gupta's research interests include machine learning, intelligent systems, and data mining, with a specific interest in artificial intelligence, image processing and analysis, smart cities, data analysis, and human/brain-machine interaction (BMI). She has published over 140 papers in peer-reviewed national and international journals, authored several books and chapters, and reviewed for journals including Big Data, Artificial Intelligence Review, CMC, Scientific Reports, and Tech Science Press (TSP). Dr. Gupta is a life member of the Indian Society for Technical Education (ISTE) and the International Association of Engineers

(IAENG). She is also a member of the Institute of Electrical and Electronics Engineers

(IEEE).

Dr. Anand Nayyar is a professor, scientist, vice-chairman (research) and director- IoT and intelligent systems lab in school of computer science, Duy Tan University, Da Nang, Vietnam. He completed his Ph.D. in computer science with a focus on wireless sensor networks, swarm intelligence, and network simulation from Desh Bhagat University, Punjab, India. Dr. Nayyar has published over 175 papers in peer-reviewed national and international journals, authored over 5o books, presented over 70 papers in various international conferences, and authored several book chapters. He has over 125 professional certifications from brands including CISCO, Microsoft, Amazon, EC-Council, Oracle, Google, Beingcert, EXIN, GAQM, and Cyberoam. Dr. Nayyar is a member of several associations including the Institute of Electrical and Electronics Engineers (IEEE) and the Association for Computing Machinery (ACM). He has various patents to his credit from different countries on wireless communications, artificial intelligence, cloud computing, IoT, healthcare, drones, robotics, and image processing. Dr. Nayyar has also received many accolades and awards.

Table 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.