Advancing Integrative Medicine Through Medical Intelligence
Introduction to Medical Intelligence with Integrative Medicine
- 1st Edition - June 23, 2026
- Latest edition
- Authors: Sumbul, Md Belal Bin Heyat
- Language: English
Advancing Integrative Medicine Through Medical Intelligence: Introduction to Medical Intelligence with Integrative Medicine" explores the synergy between advanced technol… Read more
Description
Description
Advancing Integrative Medicine Through Medical Intelligence: Introduction to Medical Intelligence with Integrative Medicine" explores the synergy between advanced technologies like AI and data analytics, and traditional medicine. This comprehensive book examines how these fields converge to enhance healthcare outcomes.
The book covers key topics such as the role of AI in modern medicine, integration of traditional practices like Ayurveda and Unani with AI, and holistic approaches for patient care. It also includes AI-assisted mental health interventions, disease prevention through traditional methods, and AI in diagnosing chronic diseases and managing pain.
Academics, researchers, and healthcare professionals will find this book invaluable for understanding how to combine AI and integrative medicine to improve health outcomes. It offers practical case studies and explores emerging trends that will shape the future of healthcare, making it a crucial resource for those interested in the evolving landscape of medical practices.
The book covers key topics such as the role of AI in modern medicine, integration of traditional practices like Ayurveda and Unani with AI, and holistic approaches for patient care. It also includes AI-assisted mental health interventions, disease prevention through traditional methods, and AI in diagnosing chronic diseases and managing pain.
Academics, researchers, and healthcare professionals will find this book invaluable for understanding how to combine AI and integrative medicine to improve health outcomes. It offers practical case studies and explores emerging trends that will shape the future of healthcare, making it a crucial resource for those interested in the evolving landscape of medical practices.
Key features
Key features
- Gives insights into how artificial intelligence and traditional practices like Ayurveda and Unani integrate to enhance healthcare outcomes
- Includes real-world examples that showcase the successful combination of integrative medicine and AI
- Analyzes the latest advancements in AI and integrative medicine
Readership
Readership
post-graduate students, early-career researchers, and healthcare professionals in the fields of oncology, biomedical science, and integrative medicine.
Table of contents
Table of contents
1. Multidisciplinary Approach for Female Sexual Dysfunction: Bridging Unani and Contemporary Medicine along with AI Innovations
2. AI-driven Modern Medicine: Current Advancements and Future Recommendations
3. Deep Learning for Clinical Research
4. Integrating Artificial Intelligence into Holistic Nursing: Enhancing Compassionate and Personalized Care
5. Human Metapneumovirus: Worldwide Research and Therapeutic Strategies
6. Modern Approaches to Craniofacial Anomalies: The Role of AI and Integrative Therapies
7. Utilizing Large Language Models for Early Disease Identification
8. Molecular Docking and Network Pharmacology Insights of Sesamum indicum Linn in Pelvic Inflammatory Disease
9. Artificial Intelligence-driven strategies in the Identification and Treatment of Ischemic Heart Disease
10. Automated Grading of Diabetic Retinopathy Using Retina Insighter and Convolutional Neural Networks
11. Integrative Perspectives on Lawsonia inermis L.: From Ethnomedicine and Pharmacology to Clinical Utility and AI-Driven Discoveries
12. Role of Integrative Medicine in Disease Prevention in Women’s Health: Role for Artificial Intelligence and Machine Learning
13. AI in Cancer Medicine: Nanotherapeutics and Integrative Approaches
14. Role of Artificial Intelligence in enhancing the development, validation, and application of Unani Formulations for the management of COVID-19
15. Integrating AI into Traditional Indian Medicine: Personalisation, Validation, and Global Scale
16. Traditional Chinese Medicine with AI: Challenges and Future Prospects
17. Recent Advancements of Integrative Medicine in the Current World: Current Issues and Future Recommendation
18. Artificial Intelligence in Predictive Toxicology: A New Paradigm for Safety Profiling of Unani Drugs
2. AI-driven Modern Medicine: Current Advancements and Future Recommendations
3. Deep Learning for Clinical Research
4. Integrating Artificial Intelligence into Holistic Nursing: Enhancing Compassionate and Personalized Care
5. Human Metapneumovirus: Worldwide Research and Therapeutic Strategies
6. Modern Approaches to Craniofacial Anomalies: The Role of AI and Integrative Therapies
7. Utilizing Large Language Models for Early Disease Identification
8. Molecular Docking and Network Pharmacology Insights of Sesamum indicum Linn in Pelvic Inflammatory Disease
9. Artificial Intelligence-driven strategies in the Identification and Treatment of Ischemic Heart Disease
10. Automated Grading of Diabetic Retinopathy Using Retina Insighter and Convolutional Neural Networks
11. Integrative Perspectives on Lawsonia inermis L.: From Ethnomedicine and Pharmacology to Clinical Utility and AI-Driven Discoveries
12. Role of Integrative Medicine in Disease Prevention in Women’s Health: Role for Artificial Intelligence and Machine Learning
13. AI in Cancer Medicine: Nanotherapeutics and Integrative Approaches
14. Role of Artificial Intelligence in enhancing the development, validation, and application of Unani Formulations for the management of COVID-19
15. Integrating AI into Traditional Indian Medicine: Personalisation, Validation, and Global Scale
16. Traditional Chinese Medicine with AI: Challenges and Future Prospects
17. Recent Advancements of Integrative Medicine in the Current World: Current Issues and Future Recommendation
18. Artificial Intelligence in Predictive Toxicology: A New Paradigm for Safety Profiling of Unani Drugs
Product details
Product details
- Edition: 1
- Latest edition
- Published: June 26, 2026
- Language: English
About the authors
About the authors
S
Sumbul
Dr. Sumbul is a dynamic academician and researcher at the forefront of integrative healthcare, seamlessly bridging traditional systems of medicine with modern technological intelligence. She received her Bachelor’s degree in B.U.M.S. (Bachelor of Unani Medicine and Surgery) from Ayurvedic and Unani Tibbia College, University of Delhi in 2019, followed by her Master’s degree in Obstetrics and Gynecology from NIUM, Rajiv Gandhi University of Health Sciences, Bangalore, in 2022. Since then, she has been serving as an Assistant Professor at Jamia Hamdard, New Delhi, contributing actively to teaching, research, clinical duties and academic leadership. With over 30 publications in national and international journals, 300 citations, and an h-index of 8, Dr. Sumbul has published her research with reputed international publishers including Elsevier, Springer, Wiley, Hindawi, MDPI, Frontiers, and Bentham Science. Her scholarly work is driven by a strong vision to integrate healthcare and traditional systems of medicine with artificial intelligence, shaping the future of evidence-based, technology-enabled holistic care.
Affiliations and expertise
Assistant Professor, D/o Obstetrics and Gynaecology (Amraze Niswan wa Qabalat) SUMER, Jamia Hamdard, New Delhi, INDIAMH
Md Belal Bin Heyat
Dr. Md Belal Bin Heyat is a distinguished researcher and academic whose work connects artificial intelligence, biomedical signal processing, and healthcare innovation. He completed his B.Tech in Electronics and Instrumentation (EI) and his M.Tech in Electronics Circuit and System (ECS) at Integral University, Lucknow, India, in 2014 and 2016, respectively. He later pursued his PhD in Electronic Science and Technology at the University of Electronic Science and Technology of China (UESTC), Chengdu, where he demonstrated remarkable academic and leadership excellence, winning nine prestigious awards and serving as a Research Associate, Vice-Chairman of the UESTC Country League, and Country Representative for India.
After his PhD, Dr. Heyat worked as a Postdoctoral Fellow at the IoT Research Centre, College of Computer Science and Software Engineering, Shenzhen University, China, from 2021 to 2023. He is currently a Postdoctoral Fellow at the CenBRAIN Neurotech Center of Excellence, Westlake University, China. Alongside this, he serves as a visiting postdoctoral researcher at the Center for Visual Information Technology (CVEST), IIIT Hyderabad, India, and as a faculty member in the Department of Science and Engineering at the Novel Global Community Educational Foundation, NSW, Australia.
Dr. Heyat’s interdisciplinary research focuses on applying AI to enhance disease detection and treatment, particularly in sleep disorders, neurological and psycho-neurological conditions, and cardiovascular health. He is also widely recognized for integrating Traditional Chinese Medicine concepts with modern AI-driven diagnostic systems for mental health care. With over 3500 citations and recognition as one of the Top
2% Scientists in the World (Stanford University Ranking), his work continues to make a profound impact on global healthcare research.
Beyond his scientific contributions, Dr. Heyat actively serves the academic community as a Guest Editor for renowned journals such as Life, Journal of Integrative Neuroscience, and Applied Sciences. He also reviews for major publishers, including Oxford University Press, IEEE, Elsevier, Springer, Wiley, Hindawi, MDPI, Frontiers, and Bentham Science. With more than 100 publications in leading international journals and conferences and an h-index of 35, Dr. Heyat remains dedicated to advancing AI-powered healthcare and neuro-technology, striving to improve diagnostic precision and transform medical innovation worldwide.
Affiliations and expertise
CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou, Zhejiang, China