Artificial Intelligence for Smart Healthcare

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.

Provides insight into communication technologies that govern current healthcare sector Includes a comprehensive introduction of artificial intelligence in healthcare Discusses various machine learning algorithms applied in the field of medicine

Auteur
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 Algorithm Design. She has to her credit more than 60 publications in reputed journals and conferences including Elsevier, Springer and Taylor & Francis. She has organized multiple International Conferences in collaboration with Elsevier and Springer. She has been a part of many conferences as session chair and have delivered multiple guest lectures at platforms of repute. She has successfully guided 20 MTech & 2 PhD scholars and currently 5 research scholars are working under her supervision. Apart from teaching-learning and research, she has also worked as a Radio Jockey with AIR FM Gold for 16 years. She believes that there is no end to learning and this motivates her to attend various National and International Conferences, Workshops and Faculty Development Programs."

Ahmed A. Elngar is an Associate Professor of Computer Science at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an AssociateProfessor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. Elngar is an Adjunct Professor at the School of Technology, Woxsen University, India. Dr. Elngar is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. Elngar is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 106 scientific research papers published in prestigious international journals and over 25 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment which were published in Elsevier, Springer and Taylor & Francis. Dr. Elngar is a collaborative researcher He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Networ

Contenu
Introduction.- Section1: 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. <p