Artificial Intelligence Available
August 2025
in Healthcare
Trends, Applications, and Future Directions
Editors: Sakshi Gupta, PhD
Associate Professor, Department of Mathematics,
Applied Sciences and Humanities, Dronacharya College of Engineering,
Gurugram, Haryana, India
Aryan Chaudhary, PhD
Chief Scientific Advisor, Bio Tech Sphere Research, India
“This compendium, meticulously curated by the
editors, 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 intersection
of AI and healthcare . . . Not merely a compilation of
scholarly works; it is a beacon that illuminates the way
forward for researchers, healthcare professionals, CONTENTS
and policymakers alike. The insights shared herein are
poised to inspire further innovation, collaboration, Preface
and advancements in the realm of AI-driven PART I: INTRODUCTION TO AI IN HEALTHCARE
healthcare.” 1. Conundrums in Application of Artificial Intelligence (AI) in
—From the Foreword by Isha Malhotra, PhD, Professor and Principal Modern Healthcare Systems: Legal Admissibility, Challenges, and
Dronacharya College of Engineering, Gurugram, India Future Scope of Lensing Safety and Big Data Protection
Bhupinder Singh and Prof. Christian Kaunert
This comprehensive book brings together a diverse collection of 2. Review of the Role of Mathematical Foundations of AI in
insights from experts in medicine, computer science, and data Healthcare
analytics to explore the evolving role of artificial intelligence S. Priyadharsini and E. Kungumaraj
(AI) in the healthcare sector. The chapters delve into various PART II: DATA PROCESSING AND COLLECTION IN
facets of AI applications, from legal considerations and HEALTHCARE
mathematical foundations to the practical implementations of 3. Big Data Analytics in the Healthcare Sector
machine learning and deep learning in healthcare. P. K. Paul, Abhijit Bandyopadhyay, Nilanjan Das, and Ritam
Chatterjee
Artificial Intelligence in Healthcare: Trends, PART III: AI APPLICATION IN DIAGNOSIS AND
Applications, and Future Directions is structured TREATMENT
into several parts, each addressing crucial aspects of AI 4. Machine Learning Algorithms for Healthcare: Applications,
in healthcare. It first discusses the challenges and future Analysis, and Future Directions
scope of AI in healthcare systems and goes on to review the Farhan Sabir Ujager
mathematical foundations and big data that form the basis of AI 5. Insights in Contemporary Machine Learning Approaches in the
applications. The subsequent parts cover data processing and Diagnosis and Treatment of Migraines
collection, AI application in diagnosis and treatment, imaging Pooja Khurana and Deepak Kumar
and disease detection, robotics, automation, pharmaceutical 6. Artificial Intelligence-Driven Diagnostic Systems
and biomedical applications, ethical considerations, and future Geetpriya Kaur, Aparna Pathak, Pallak Arora, and Pooja
trends and directions. The diverse range of topics covered Chakraborty
reflects the complexity and richness of this field, providing
7. Exploring the Level of Students’ Mental Health Anxiety Utilizing
readers with a well-rounded perspective on the subject matter. the Application of an Artificial Intelligence Algorithm
Muhammad Suhail Shaikh, Gengzhong Zheng, Xiaoqing Dong,
Designed to bridge the gap between the technical intricacies of and Chang Wang
AI and the real-world implications for healthcare professionals,
researchers, and policymakers, this book provides readers with
a multidimensional understanding of how AI is transforming
healthcare, shaping the present, and guiding the future of
medical practices. The book will serve as a catalyst for further US OFFICE:
1265 Goldenrod Circle NE, CANADIAN OFFICE:
exploration, collaboration, and innovation in leveraging AI for Palm Bay, FL 32905 USA 760 Laurentian Drive, Unit 19
the betterment of healthcare practices worldwide. info@appleacademicpress.com Burlington Ontario L7N 0A4 Canada
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 Scans 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. Revolutionizing 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 APPLICATIONS
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 Dilemmas in 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 Artificial Intelligences in Healthcare
Anwesha Paul, Shubham Gupta, Vishnu Vinod, Nilofer Nischat, Mamta Verma, and Nency Unadkat
Index
Approx. 404 pages with index. 130 b/w illustrations.
ISBN: 978-1-998511-06-8 / E-book ISBN: to come
$240 US / £180 UK
Forthcoming August 2025
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Prices and publications subject to change without notice. JAN 27 2025
Artificial Intelligence in Healthcare
Trends, Applications, and Future Directions
ABOUT THE EDITORS
Sakshi Gupta, PhD, is a dedicated and diligent educator, working as an Associate Professor in the
Department of Mathematics, Applied Sciences and Humanities at the Dronacharya College of Engineering,
Gurugram, Haryana, India. Prior to this, she has worked at SGT University Gurugram, Haryana; Amity
University, Gurugram, Haryana; The NorthCap University, Gurugram, Haryana; and Government
College, Chandigarh, India. She has over nine years of experience in research and academics. Her research
interests include computational modeling and analysis, graph theory, and petri nets. She has published
eight research papers and book chapters in peer-reviewed reputed international journals and Springer
international conferences (SCI, Scopus, WOS). She has attended more than 25 faculty development
programs, seminars, and workshops. She presented her research work R various national and international
conferences. She has also received a best paper award from Jawaharlal Nehru University, New Delhi. She
completed her MSc in Mathematics & Computing from Thapar University, Patiala, India. Dr. Sakshi earned
her PhD degree in Mathematics with a specialization in Graph Theory from Amity University Gurugram,
Haryana. She has qualified Joint CSIR-UGC NET Exam, December 2009 in Mathematics with AIR 23. She
is also skilled in LaTex (technical writing software).
Aryan Chaudhary is the Chief Scientific Advisor at BioTech Sphere Research, India, Aryan continues
to make groundbreaking contributions to the industry. Having served as the Research Head at Nijji
HealthCare Pvt Ltd, he has demonstrated his expertise in leveraging revolutionary technologies such
as artificial intelligence, deep learning, IoT, cognitive technology, and blockchain to revolutionize the
healthcare landscape. His relentless pursuit of excellence and innovation has earned him recognition as a
thought leader in the industry. His dedication to advancing healthcare is evident through his vast body of
work. He has authored several influential academic papers on public health and digital health, published in
prestigious international journals. His research primarily focuses on integrating IoT and sensor technology
for efficient data collection through one-time and ambulatory monitoring. As a testament to his expertise
and leadership, he is not only a keynote speaker at numerous international and national conferences
but also serves as the Series Editor of a CRC book series and is the editor of several books on biomedical
science. His commitment to the advancement of scientific knowledge extends further, as he acts as a guest
editor for special issues in renowned journals. Recognized for his significant contributions, he has received
prestigious accolades, including 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. Moreover,
he holds senior memberships in various international science associations, reflecting his influence and
impact in the field. Adding to his accomplishments, Aryan Chaudhary is currently serving as a guest editor
for a special issue in the highly-regarded journal, EAI Endorsed Transactions on AI and Robotics, and he
has joined the editorial board of Biomedical Science and Clinical Research (BSCR). Additionally, he is a
respected professional member of the Association for Computing Machinery (ACM).
