Advancing Integrative Medicine Through Medical Intelligence
Introduction to Medical Intelligence with Integrative Medicine
- 1st Edition - August 1, 2026
- Latest edition
- Authors: M. 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 techno… Read more
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Description
Description
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
Table of contents
Table of contents
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: August 1, 2026
- Language: English
About the authors
About the authors
MS
M. Sumbul
Dr. Sumbul received her Bachelor's degree in B.U.M.S. (Bachelor of Unani Medicine and Surgery) from Ayurvedic and Unani Tibbia College, under Delhi University in 2019, and her Master's degree in Obstetrics and Gynecology from NIUM, Rajiv Gandhi University of Health Sciences, Bangalore, in 2022. Since then, she has been working as an Assistant Professor in Rajasthan.
Dr. Sumbul has published more than 20 articles in national and international journals. Her work focuses on integrating healthcare and traditional systems of medicine with artificial intelligence.
MH
Md Belal Bin Heyat
Md Belal Bin Heyat received the B.tech degree in E.I. from Integral University, Lucknow, UP, India in 2014. He is successfully completed Master of Technology degree in Electronics Circuit & System, department of electronics and communication engineering from Integral University, Lucknow, Uttar Pradesh, India in 2016. He has author and co-author in number of International journals, National journals, Symposium and Conferences. He is an editor and reviewer for three international and national journals. His research interests include electronics, communication engineering, instrumentation, therapy, medical and biomedical engineering.