Artificial Intelligence in Patient Counselling

Bhupendra G. Prajapati · Meghraj Vivekanand Suryawanshi · Jigna Prajapati · Nemat Ali

Apr 2026 · Academic Press

Ebook

220

Pages

Eligible

This book will become available on April 1, 2026. You will not be charged until it is released.

About this ebook

AI in Healthcare: Revolutionizing Patient Counselling and Education aims to explore the transformative role of artificial intelligence in enhancing patient counseling and education. This book delves into how cutting-edge AI technology is reshaping the healthcare landscape, improving patient experiences, and driving better health outcomes. It provides a comprehensive overview of the ways AI can address the challenges of personalized and effective patient care. The book covers a wide range of topics, including the creation of personalized treatment plans through AI's analysis of patient data, the emergence of AI-powered virtual health assistants for 24/7 support, and the use of predictive analytics to identify disease progression early. It also explores AI-enhanced medical imaging, empathetic AI chatbots, ethical considerations, and real-world case studies that illustrate the tangible benefits of AI in patient counseling and education. This book benefits healthcare professionals, policymakers, technologists, and anyone interested in the future of healthcare. By offering insights from leading experts, it empowers readers to navigate the evolving healthcare landscape with confidence and compassion. The book provides essential knowledge and tools for improving patient outcomes and modernizing patient care through AI-driven solutions, making it a valuable resource for understanding the impact of AI on patient care and education. - Delves into how AI analyzes patient data, including medical histories, genetics, and lifestyles, to create tailored treatment plans that enhance patient counseling and improve health outcomes - Highlights the role of AI-driven virtual health assistants and chatbots that provide 24/7 support, empathetic conversations, and proactive counseling, demonstrating their impact on patient care and education - Discusses the ethical implications of using AI in healthcare and presents real-world case studies that illustrate the practical benefits and challenges of AI in patient counseling and education

About the author

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.

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.

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.

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