Artificial Intelligence in Patient Counselling
- 1st Edition - April 1, 2026
- Latest edition
- Editors: Bhupendra G. Prajapati, Meghraj Vivekanand Suryawanshi, Jigna Prajapati, Nemat Ali
- Language: English
Artificial Intelligence in Patient Counselling investigates how AI is revolutionizing patient counseling and education within healthcare. This book provides a thorough look at inn… Read more
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Artificial Intelligence in Patient Counselling investigates how AI is revolutionizing patient counseling and education within healthcare. This book provides a thorough look at innovative AI tools transforming the patient experience, from streamlining communication to tailoring treatment plans. Readers explore how AI analyzes patient data to create individualized care strategies, supports patients around the clock with virtual assistants, and uses predictive analytics to identify health risks at earlier stages. The book examines the integration of empathetic AI chatbots and advanced medical imaging, emphasizing how these technologies contribute to improved patient outcomes and more effective healthcare delivery.
In addition, the book addresses crucial ethical considerations and highlights real-world case studies, demonstrating AI’s tangible benefits in patient counseling and education. It’s an essential resource for healthcare professionals, policymakers, and technologists seeking to understand and apply AI solutions in modern patient care.
In addition, the book addresses crucial ethical considerations and highlights real-world case studies, demonstrating AI’s tangible benefits in patient counseling and education. It’s an essential resource for healthcare professionals, policymakers, and technologists seeking to understand and apply AI solutions in modern patient care.
- Delves into how AI analyzes patient data, including medical histories, genetics, and lifestyles to create tailored treatment plans
- Highlights the role of AI-driven virtual health assistants and chatbots that provide 24/7 support, empathetic conversations, and proactive counseling
- Discusses the ethical implications of using AI in healthcare
- Presents real-world case studies that illustrate the practical benefits and challenges of AI in patient counseling and education
Medical Researchers and Academics conducting research on AI applications in healthcare, patient education, and personalized medicine
1. Introduction to Artificial Intelligence in Patient Counseling: Challenges and Future Directions in AI-Based Patient Education
2. Integrating Artificial Intelligence in Patient Counselling: A Comprehensive Guide for Bio-Engineers and Medical Professionals
3. The Evolution of Healthcare and AI Integration
4. Understanding Machine Learning for Patient Education
5. Natural Language Processing in Healthcare Communication
6. Chat-bots and Virtual Health Assistants in Patient Counseling
7. Personalized Healthcare Information Delivery Using AI
8. Ethical Considerations in AI-Powered Patient Counseling
9. Data Privacy and Security in Patient Education Platforms
10. AI-Enhanced Diagnostic Tools for Patient Understanding
11. Augmented Reality and Virtual Reality in Health Education
12. Machine Learning Algorithms for Predictive Patient Counseling
13. Integrating AI into Telemedicine for Remote Patient Education
14. AI-Driven Patient Empowerment and Self-Care: Implementing AI Solutions for Enhanced Clinical Practice
15. Case Studies in AI-Enabled Patient Counseling Success Stories
16. Regulatory Frameworks for AI in Patient Counselling: Navigating Compliance and Ethical Concerns in India and Worldwide
17. AI Applications in Patient Counselling: Latest Research, Developments, and Practical Insights for Beginners and Advanced Professionals
2. Integrating Artificial Intelligence in Patient Counselling: A Comprehensive Guide for Bio-Engineers and Medical Professionals
3. The Evolution of Healthcare and AI Integration
4. Understanding Machine Learning for Patient Education
5. Natural Language Processing in Healthcare Communication
6. Chat-bots and Virtual Health Assistants in Patient Counseling
7. Personalized Healthcare Information Delivery Using AI
8. Ethical Considerations in AI-Powered Patient Counseling
9. Data Privacy and Security in Patient Education Platforms
10. AI-Enhanced Diagnostic Tools for Patient Understanding
11. Augmented Reality and Virtual Reality in Health Education
12. Machine Learning Algorithms for Predictive Patient Counseling
13. Integrating AI into Telemedicine for Remote Patient Education
14. AI-Driven Patient Empowerment and Self-Care: Implementing AI Solutions for Enhanced Clinical Practice
15. Case Studies in AI-Enabled Patient Counseling Success Stories
16. Regulatory Frameworks for AI in Patient Counselling: Navigating Compliance and Ethical Concerns in India and Worldwide
17. AI Applications in Patient Counselling: Latest Research, Developments, and Practical Insights for Beginners and Advanced Professionals
- Edition: 1
- Latest edition
- Published: April 1, 2026
- Language: English
BP
Bhupendra G. Prajapati
Dr. Bhupendra Gopalbhai Prajapati is a Professor (Research Cadre) at Parul Institute of Pharmacy, Parul University, Gujarat, India. He is also acting as Adjunct Professor at Department of Industrial Pharmacy, Faculty of Pharmacy, Silpakorn University, Thailand. With over 22 years of experience in academia, research, and industry, he specializes in lipid-based formulations, nano/microparticulate drug delivery, and bioavailability enhancement. A recipient of several prestigious awards including the AICTE Young Teacher Award and Ganpat University's Staff Excellence honors, Dr. Prajapati has published over 350 research/review papers, and has contributed to more than 170 book chapters. He actively mentors Ph.D. and PG scholars and serves as editor or section editor for several international publications in pharmaceutical sciences.
Affiliations and expertise
Parul Institute of Pharmacy, Faculty of Pharmacy, Parul University, Waghodia, Vadodara, Gujarat, IndiaMS
Meghraj Vivekanand Suryawanshi
Dr. Meghraj Vivekanand Suryawanshi, an accomplished Assistant Professor, holds qualifications including an M. Pharm, MBA, PDCR, and Ph.D. With six years of experience, he has published 31 research papers in esteemed journals and authored five books and 21 book chapters. He has received numerous awards for his innovative research and mentoring, including the Young Scientists Award and Best Researcher Award. Dr. Suryawanshi's expertise spans polymer science, novel drug delivery systems, and intellectual property rights. He is also a co-founder and mentor at multiple startups and has successfully managed projects worth 50 lakh INR. His impactful research contributions are reflected in his citations and a highest impact factor.
Affiliations and expertise
KPGU, IndiaJP
Jigna Prajapati
Dr. Jigna Prajapati has rich experience of years in academia, research and IT industry, holding Doctorate in Computer Science. She published more than fifty international & national publication. She has secured many best paper awards in international & national Conferences in research category. Besides teaching she is Motivator, Online and Offline Trainer & counsellor. Leading a team which involves work of Infrastructure/ Academic Planning & Development, Network Design & Management, Examination, Key Administration & Research. She is actively working in field of Artificial Intelligence & Machine Learning focusing on healthcare. Her expert domains are as artificial intelligence, machine learning, software engineering & emerging technologies. She works on research projects that explore new techniques and methods in their area of Machine learning and collaborates with other researchers both within their institution and around the world. She has played an important role in educating the next generation of computer scientists.
Affiliations and expertise
Ganpat University, IndiaNA
Nemat Ali
Currently working as an Assistant Professor in the Department of Pharmacology and Toxicology at College of Pharmacy King Saud University, Riyadh Saudi Arabia. Before joining King Saud University worked as a Post-Doctoral Scholar in the School of Medicine, University of Kentucky, Lexington, USA.. Currently involved in teaching, research, and research is mainly focused on finding the molecular mechanisms involved in cancer chemoprevention and chemotherapy-induced vital organ toxicity and their prevention using natural and synthetic compounds using in-vivo and in-vitro models. He has published more than 130 research, review and book chapters in highly reputed international journals.
Affiliations and expertise
King Saud University, Saudi Arabia