Artificial Intelligence for Health 4.0: Challenges and Applications
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Healthcare is one of the major success stories of our times. Medical science has improved rapidly, raising life expectancy around the world. However, as longevity increases, healthcare systems face growing demands for their services, rising costs, and a workforce that is struggling to meet the needs of its patients. Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above. The application of AI to healthcare data can literally be a matter of life and death. AI can assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare can enhance preventive care and quality of life, produce more accurate diagnoses and treatment plans, and lead to better patient outcomes overall. This book gives insights into the latest developments of applications of AI in biomedicine, including disease diagnostics, pharmaceutical processing, patient care and monitoring, biomedical information, and biomedical research. It also presents an outline of the recent breakthroughs in the application of AI in healthcare, describes a roadmap to building effective, reliable, and safe AI systems, and discusses the possible future direction of AI augmented healthcare systems. AI has countless applications in healthcare. Whether it’s being used to discover links between genetic codes, to power surgical robots or even to maximize hospital efficiency; AI has been a boon to the healthcare industry.
Table of Contents
1. Healthcare 4.0: A Systematic Review and its Impact Over Conventional Healthcare Systems
2. Data Imaging, Clinical Studies, and Disease Diagnosis Using Artificial Intelligence in Healthcare
3. Leveraging Artificial Intelligence in Patient Care
4. Patient Monitoring through Artificial Intelligence
5. Artificial Intelligence: A Promising Approach towards Targeted Drug Therapy in Cancer Treatment
6. An AI Based Cloud Computing Technique for Patient Data Management
7. The Role of Artificial Intelligence and Robotics in Healthcare
8. An Artificial Intelligence and Machine Learning Approach for the Development and Discovery of Drugs
9. Artificial Intelligence in Boosting the Development of Drugs
10. Artificial Intelligence in Medical Image Processing
11. Advancement of AI in Cancer Management: Role of Big Data
12. Targeted Drug Delivery in Cancer Tissues by Utilizing Big Data Analytics: Promising Approach of AI
Dr. Rishabha Malviya completed a B. Pharm. from Uttar Pradesh Technical University and an M. Pharm. (Pharmaceutics) from Gautam Buddha Technical University, Lucknow Uttar Pradesh. His Ph.D. (Pharmacy) work was in the area of novel formulation development techniques. He has 11 years of research experience and has worked as Associate Professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University for the past 8 years. His areas of interest include formulation optimization, nanoformulation, targeted drug delivery, localized drug delivery and characterization of natural polymers as pharmaceutical excipients. He has authored more than 150 research/review papers for national/international journals of repute. He is editorial board member/reviewer of more than 40 journals. He has more than 10 patent grants from different countries are to his credit while 40 patents are published/under evaluation.
Professor Naveen Chilamkurti is currently working as Professor and Head of Cybersecurity Discipline Director at La Trobe Cybersecurity Research Hub, La Trobe University, Melbourne, Australia. He has completed a Masters and Ph.D. in Computer Science from La Trobe University. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published more than 10 books and book chapter on various technologies. He has published more than 250 review and research articles in national and international journal.
Professor Sonali Sundram completed a B. Pharm. and M. Pharm. (Pharmacology) at AKTU, Lucknow. She has worked as research scientist in a project of ICMR at King George’s Medical University, Lucknow, then joined BBDNIIT, and is currently working at Galgotias University, Greater Noida. Her Ph.D. (Pharmacy) work was in the areas of neurodegeneration and nanoformulation. Her areas of interest are neurodegeneration, clinical research, and artificial intelligence. She has attended as well organized more than 15 national and international seminar/conferences/workshop. She has more than 8 patents to her credit.
Dr. Rajesh Kumar Dhanaraj is an Associate Professor at the School of Computing Science and Engineering at Galgotias University, Greater Noida, India. He holds a Ph.D. in information and communication engineering from the Anna University Chennai, India. He has contributed to 20+ books on various technologies, 35+ articles and papers in various refereed journals and international conferences, and contributed chapters to books. His research interests include machine learning, cyber-physical systems and wireless sensor networks. He is an Expert Advisory Panel Member of Texas Instruments Inc. USA.
Professor Balamurugan Balusamy served up to the position of Associate Professor in his stint of 14 years at VIT University, Vellore. He gained his Bachelors, Masters and Ph.D. from top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 30+ books on various technologies and visited 15+ countries for his technical course. He has several top-notch conferences on his resume and has published over 150 quality journal, conference and book chapters. He serves on the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 175 talks at various events and symposia. He is currently working as a professor at Galgotias University and teaches students, and does research on Blockchain and IOT.