Artificial Intelligence in Healthcare Trends, Applications, and Future Directions

Foreword by Prof. Isha Malhotra

Preface

PART I: INTRODUCTION TO AI IN HEALTHCARE

1. Conundrums in Application of Artificial Intelligence (AI) in Modern Healthcare System: Legal Admissibility, Challenges and Future Scope Lensing Safety, and Big Data Protection

Bhupinder Singh and Christian Kaunert

2. Review on Role of Mathematical Foundations of AI in Healthcare

S. Priyadharsini and E. Kungumaraj

PART II: DATA PROCESSING AND COLLECTION IN HEALTHCARE

3. Big Data Analytics in the Healthcare Sector

P. K. Paul, Abhijit Bandyopadhyay, Nilanjan Das, and Ritam Chatterjee

PART III: AI APPLICATION IN DIAGNOSIS AND TREATMENT

4. Machine Learning Algorithms for Healthcare: Applications, Analysis, and Future Directions

Farhan Sabir Ujager

5. Insights in Contemporary Machine Learning Approaches in the Diagnosis and Treatment of Migraine

Pooja Khurana and Deepak Kumar

6. Artificial Intelligence-Driven Diagnostic Systems

Geetpriya Kaur, Aparna Pathak, Pallak Arora, and Pooja Chakraborty

7. Exploring the Level of Students Mental Health Anxiety Utilizing the Application of Artificial Intelligence Algorithm

Muhammad Suhail Shaikh, Gengzhong Zheng, Xiaoqing Dong, and Chang Wang

PART IV: IMAGING AND DISEASE DETECTION

8. Deep Learning in Medical Imaging

Shubham Gupta, Nency Unadkat, Vishnu Vinod, Nilofer Nischat, and Megha Yadav

9. Exploring Deep Learning Models for COVID-19 Detection from CT Scan and X-Ray Images

Shirshendu Das, Hrit Saha, Soumyajit Pal, Sayantan Paul, and Sanjay Chakraborty

10. Using Machine Learning Techniques to Detect COVID-19, Pneumonia, and Tuberculosis (TB) Based on Analysis for Chest X-Ray Images

Potharla Ramadevi, Raja Das, M. Lakshmi, and Balakrishnama Manohar

11. Skin Cancer Detection Based on Color and Texture Feature-Based Extraction

Shelly Garg and Balkrishan Jindal

12. Deep Learning Approach for Glioblastoma Brain Tumor Classification and Prevention

Goddey Chris Odioza

13. Multi-Label Machine Learning Techniques with Stacking CV Classifiers for the Optimal Medical Diagnosis of Cardiovascular Diseases

Hira Fatima, Ghulam Nabi Ahmad, and Shafiullah

PART V: ROBOTICS, AUTOMATION, AND VIRTUAL WORLDS IN HEALTHCARE

14. Enhanced Chatbot Assistance for Patient Healthcare

Ambika N.

15. Revolutionize Healthcare Using Metaverse Virtual Worlds and Augmented Reality Bentonite

Varun Sapra and Luxmi Sapra

16. Robotics and Automation in Healthcare

Nency Unadkat, Shubham Gupta, Vishnu Vinod, and Nilofer Neshat

PART VI: PHARMACEUTICAL AND BIOMEDICAL APPLICATION

17. AI in Drug Discovery and Development

Jagatkumar Upadhyay, Divya Teli, and Anuradha Gajjar

18. The Emergence of Artificial Intelligence (AI) in Pharmaceutical and Biomedical Sciences

Rahul S. Tade

PART VII: ETHICAL CONSIDERATIONS AND CHALLENGES

19. Transformative Advances and Ethical Considerations in AI-Driven Healthcare: A Comprehensive Exploration of Emerging Trends

Reepu

20. Ethical Dilemma With AI: The Essential Evil to be Dealt With

Pratap Kumar Jena, Srikanth Mahankali, Amar Jindal, and Jugal Kishore

PART VIII: FUTURE TRENDS AND DIRECTION

21. Rise of AI: A Transformative Tool in Emerging Trends in the Healthcare Sector

Rahul Joshi

22. Navigating the Future: Collaborative AI-Human Dynamics in Rehabilitation

Habiba Sundus, Sohrab Ahmad Khan, Zoheb Alam Khan, Amaan Ali Khan, and Aatika Khan

23. Emerging Trends in Healthcare Artificial Intelligence

Anwesha Paul, Shubham Gupta, Vishnu Vinod, Nilofer Nischat, Mamta Verma, and Nency Unadkat

Biography

Sakshi Gupta, PhD, is an Associate Professor of Mathematics, Applied Sciences and Humanities at the Dronacharya College of Engineering, India. She has research experience in modeling and dynamic analysis of complex networks in interdisciplinary fields using computational and applied mathematical techniques. She has published research papers and book chapters and has attended many faculty development programs, seminars, and workshops. She has presented her research work at national and international conferences. Prof. Gupta holds a PhD degree in Mathematics with a specialization in Graph Theory from Amity University Gurugram, Haryana, India.

Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India. He was previously the Research Head at Nijji HealthCare Pvt Ltd. He has authored several influential academic papers on public health and digital health and has been a keynote speaker at numerous international and national conferences. He is also a book series editor and editor of several books on biomedical science. Recognized for his contributions, he has received prestigious accolades, including being named the “Most Inspiring Young Leader in Healthtech Space 2022” by Business Connect and the title of the best project leader at Global Education and Corporate Leadership.

“This compendium, meticulously curated, provides a panoramic view of the current state and future trajectory of AI applications in healthcare. The diverse and insightful chapters traverse the intricate terrain of legal considerations, mathematical foundations, data analytics, machine learning algorithms, and deep learning models, as well as the ethical dimensions that shape the intersection of AI and healthcare . . .  It is a beacon that illuminates the way forward for researchers, healthcare professionals, and policymakers alike. The insights shared herein are poised to inspire further innovation, collaboration, and advancements in the realm of AI-driven healthcare.”

—From the Foreword by Isha Malhotra, PhD, Professor and Principal Dronacharya College of Engineering, Gurugram, India