
Advancing Integrative Medicine Through Medical Intelligence
Introduction to Medical Intelligence with Integrative Medicine
by Sumbul Mehdi, Md Belal Bin Heyat
1st Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780443440212 |
| eText ISBN | 9780443440229 |
| Publisher | Academic Press |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
Published by Academic Press, Advancing Integrative Medicine Through Medical Intelligence, 1st Edition, examines the intersection of computational data analytics and traditional medical systems. The text evaluates how analytical frameworks unite with established healing models to assist clinical decision-making and patient care outcomes.
The core coverage evaluates the integration of traditional practices, including Ayurveda and Unani systems, with artificial intelligence concepts. Specific thematic areas encompass AI-assisted mental health interventions, preventive strategies anchored in traditional disciplines, computational support for chronic disease diagnosis, and targeted pain management protocols. To anchor these concepts in practice, the book provides real-world practical case studies demonstrating how integrative medicine works in tandem with algorithmic tools.
Designed as a dedicated academic reference, this volume provides structured analysis for post-graduate students, early-career researchers, and university faculty. It provides an entry point for scholars seeking to evaluate computational methods within multi-system medical research.
Table of Contents
Chapter 1: Multidisciplinary Approach for Female Sexual Dysfunction: Bridging Unani and Contemporary Medicine along with AI Innovations
Chapter 2: AI-driven Modern Medicine: Current Advancements and Future Recommendations
Chapter 3: Deep Learning for Clinical Research
Chapter 4: Integrating Artificial Intelligence into Holistic Nursing: Enhancing Compassionate and Personalized Care
Chapter 5: Human Metapneumovirus: Worldwide Research and Therapeutic Strategies
Chapter 6: Modern Approaches to Craniofacial Anomalies: The Role of AI and Integrative Therapies
Chapter 7: Utilizing Large Language Models for Early Disease Identification
Chapter 8: Molecular Docking and Network Pharmacology Insights of Sesamum indicum Linn in Pelvic Inflammatory Disease
Chapter 9: Artificial Intelligence-driven strategies in the Identification and Treatment of Ischemic Heart Disease
Chapter 10: Automated Grading of Diabetic Retinopathy Using Retina Insighter and Convolutional Neural Networks
Chapter 11: Integrative Perspectives on Lawsonia inermis L.: From Ethnomedicine and Pharmacology to Clinical Utility and AI-Driven Discoveries
Chapter 12: Role of Integrative Medicine in Disease Prevention in Women’s Health: Role for Artificial Intelligence and Machine Learning
Chapter 13: AI in Cancer Medicine: Nanotherapeutics and Integrative Approaches
Chapter 14: Role of Artificial Intelligence in enhancing the development, validation, and application of Unani Formulations for the management of COVID-19
Chapter 15: Integrating AI into Traditional Indian Medicine: Personalisation, Validation, and Global Scale
Chapter 16: Traditional Chinese Medicine with AI: Challenges and Future Prospects
Chapter 17: Recent Advancements of Integrative Medicine in the Current World: Current Issues and Future Recommendation
Chapter 18: Artificial Intelligence in Predictive Toxicology: A New Paradigm for Safety Profiling of Unani Drugs
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