Artificial Intelligence for Smart Healthcare

Introduction.- Section-1: Fundamentals.- Introduction to Technologies for Smart healthcare         .- Drivers and inhibitors of AI in Smart Healthcare.- Current scenario of healthcare compared with smart healthcare.- Section-2: Technologies for Smart healthcare.- Big data analytics in healthcare.- Deep Learning/ Machine learning based diagnostic model for personalized healthcare.- Disease diagnosis and treatment using AI.- AI in medical devices: development and usage, challenges and future frontiers.- AI and drug discovery.- Predictive modelling for diseases and pandemics.- Robotics and AI.- IoT/ IoE based architecture for healthcare.- Advances in M-Health and E-Health.- Emerging trends, paradigms and technologies in smart healthcare.- Section- 3: Challenges and solutions.- Security and Privacy of medical Data/ electronic health records.- Ethical and legal implications of AI driven healthcare.- Strategies and policies as solutions to the existingchallenges.- Section 4: Practical aspect.- Case study on Covid-19.- Conclusion.

Parul Agarwal is associated with Jamia Hamdard since 2002. She is currently an Associate Professor at Department of Computer Science and Engineering. Her area of specialization includes Fuzzy Data Mining, Cloud Computing, Sustainable computing, and Soft Computing. Her particular interest includes applications of Sustainable Computing in Agriculture, transportation, and health care. She has published several papers in reputed and SCI, Scopus, and Elsevier indexed journals and many book chapters published by CRC Press, Springer, and IGI-Global are to her credit. She is the Editor of three published edited volumes with reputed publishers: CRC Press (Taylor and Francis), and two books with Springer. Both the books with Springer are SCOPUS indexed. She has chaired several sessions of International/ National Conferences of repute. She has delivered several lectures/talks at the national and international level. Currently, several Ph.D. Scholars are working under her supervision inthe field of Brain Signaling, Energy minimization in the Cloud, Time series forecasting, and Smart Building management for smart cities. She has delivered several lectures on national and international platforms. She has organized a workshop as Principal Investigator in 2017, on "Use of ICT in sustainable Computing" approved by the Department of Science and Technology, Govt. of India, worth 5.75 Lakhs. She has guided more than 70 Masters's thesis (MCA and M.Tech.). Member of several committees at the university level, life member of ISTE, and senior member of IEEE is to her credit.

Kavita Khanna has more than two decades of teaching, research and administrative experience. Currently she is associated with Delhi Skill and Entrepreneurship University as Campus Director of Dwarka Campus. She has done her PhD from Guru Gobind Singh Indraprastha University, Dwarka, New Delhi. Her research areas include Soft Computing, Machine Learning, Computer Graphics and