1st Edition
Handbook on Augmenting Telehealth Services Using Artificial Intelligence
Handbook on Augmenting Telehealth Services: Using Artificial Intelligence provides knowledge of AI-empowered telehealth systems for efficient healthcare services. The handbook discusses novel innovations in telehealth using AI techniques and also focuses on emerging tools and techniques in smart health systems. The book highlights important topics such as remote diagnosis of patients and presents e-health data management showcasing smart methods that can be used to improvise healthcare support and services. The handbook also shines a light on future trends in AI-enabled telehealth systems.
Features
- Provides knowledge of AI-empowered telehealth systems for efficient healthcare services
- Discusses novel innovations in telehealth using AI techniques
- Covers emerging tools and techniques in smart health systems
- Highlights remote diagnosis of patients
- Focuses on e-health data management and showcases smart methods used to improvise healthcare support and services
- Shines a light on future trends in AI-enabled telehealth systems
Every individual (patients, doctors, healthcare staff, etc.) is currently getting adapted to this new evolution of healthcare. This handbook is a must-read for students, researchers, academicians, and industry professionals working in the field of artificial intelligence and its uses in the healthcare sector.
1. Artificial intelligence and Healthcare
Aradhana Kumari Singh, Manisha Singh
2. Revolutionizing Healthcare: Impact of Artificial Intelligence in Disease Diagnosis, Treatment and Patient Care
Goldie Gabrani, Sunil Gupta, Sonali Vyas, Pradeep Arya
3. Applications of Healthcare Products Having AI Capability in Disease Diagnosis
Vimal Bibhu, Lipsa Das, Shailaja Salagrama
4. Application of AI for Disease Prediction
Gurpreet Singh, Darpan Anand, Harsh Bansal
5. The Power of AI in Telemedicine: Improving Access and Outcomes
Deepak Thakur, Tanya Gera, Chetna Kaushal, Ankit Bansal, Sunil Gupta
6. AI Ethics and Challenges in Healthcare
Rashmi Singh, Anwar Ahamed Ansari
7. The Future of the Healthcare System: A Meta-Analysis of Remote Patient Monitoring
Junaid Tantray, Sourabh Kosey, Jigna B. Prajapati, Bhupendra Prajapati
8. Artificial Intelligence for Healthcare Delivery System: Future Prospective
Manish Soni, Sunita Rao
9. Contemporary Practice of Automated Machine Learning For Clinical Repository in Medicinal Field
Sonali Vyas, Shaurya Gupta, Vinod Kumar Shukla
10. Smart innovative medical devices based on Artificial Intelligence
Nayankumar C. Ratnakar, Beenkumar R. Prajapati, Bhupendra G. Prajapati, Jigna B. Prajapati
11. Virtual Consultation: Scope and Application in Healthcare
Sheetal Yadav, Rakhi Ahuja, Puneeta Ajmera, Sheetal Kalra
12. Advance and Smart Health Care System: A Case Study Calo – An AI-based health utility mobile application
Gaytri Bakshi, Priyanka Yadav, Harsh Joshi, Ashutosh Negi
13. Remote Patient Monitoring: An Overview of Technologies, Applications, and Challenges
Darpan Anand, Gurpreet Singh, Vishan Kumar Gupta
14. Artificial Intelligence (AI) and Augmented Reality (AR): Legal & Ethical Issues in the Telemedicine / Telehealth Sphere
Ridoan Karim, Sonali Vyas
15. Telemedicine: Patient monitoring and electronic healthcare Record storage
Charul Dewan, T.Ganesh Kumar
16. Gastric Cancer Diagnosis Using Machine Learning Techniques: A Survey
Danish Jamil, Sellappan Palaniappan, Susama Bagchi, Sanjoy Kumar Debnath, Chetna Monga, Shikha Mittal, Suvarna Sharma, Tejinder Kaur
17. Blockchain and Artificial Intelligence in Telemedicine and Remote Patient Monitoring
Harsh Bansal, Divya Gupta, Darpan Anand
18. The Prediction of Critical Health Diseases Using Artificial Intelligence with Lung Cancer as a case study
Harish Tiwari, Darpan Anand, Mukesh Kalla
19. Revolutionizing Healthcare: The Impact of Augmented and Virtual Reality
Pawan Whig, Ashima Bhatnagar Bhatia, Radhika Mahajan, Ankit Sharma
20. Augmented and Virtual Reality-Based Interventions for Learning Disabilities: Current Practices and Future Prospects
Samiya Khan
21. Employ Metrics in the Data Warehouse's Requirements Model for Hospitals
Tanu Singh, Bhavana Kaushik
22. Paving the way for healthcare with AI, ML, and DL: Opportunities, Challenges, and Open Issues
Mitali Chugh, Neeraj Chugh
Biography
Dr. Sonali Vyas has served as an academician and researcher for over 13 years. Currently, she is working as an Associate Professor at the University of Petroleum and Energy Studies, Uttarakhand. She is a professional member of Senior Member-IEEE, ACM-India, CSI, IFERP, IAENG, ISOC, SCRS and IJERT. She has been awarded the “National Distinguished Educator Award 2021”, by the International Institute of organized Research (I2OR) which is a registered MSME, Government of India”. She was also awarded the “Best Academician of the Year Award (Female)” in "Global Education and Corporate Leadership (GECL-2018)”. Dr. Vyas has authored and edited many books with renowned publishers. She has published many research papers, articles, and chapters in refereed journals, conference proceedings, and patents. She has also been a member of the Organizing Committee, National Advisory Board, and Technical Program Committee for many international and national conferences, as well as chaired sessions. Her research interests include Healthcare Informatics, Blockchain, Database Virtualization, Data Mining, and Big Data Analytics.
Dr. Sunil Gupta has over more than twenty years of experience in teaching, research, and industry in the field of Computer science and Engineering. He is an active member of IEEE Society, Computer Society of India, Member, Computer Science Teacher Association, Life Member, International Association of Engineers, Member, International Association of Computer Science and Information Technology, Member, and Internet Society (ISOC). He has conducted various workshops, conferences, and FDP. He has authored sixty-nine research papers, two textbooks, and has six patents to his credit. He has also acted as a reviewer of International Journals and is a member of the Scientific Committee and Editorial Review Board on Engineering and Physical Sciences for the World Academy of Science, Engineering and Technology.
Dr. Monit Kapoor is an academician and a researcher with a cumulative work experience of twenty-four years and is currently guiding six Ph.D. scholars in various research areas. He has more than 30 journal publications, books and filed four patents/copyrights in the area of IOMT, Blockchain and Health Care. He currently works as a Professor in the Department of CSE at Chitkara University, Punjab, India, and has been voted among the Top 50 tech-savvy academicians in India by Ulektz in the year 2019. Dr. Kapoor closely works with the government of India, the Ministry of Electronics, and IT for proposing Mobile Device Security Standards. He has been in TPC of multiple international conferences and serves as a reviewer for SCI and Scopus indexed journals. He has been session chair in many reputed international conferences and has delivered many invited talks and workshops. His research interests are in the area of Machine Learning, Adhoc and Sensor Networks, UAV Networks, Speech Processing, and Artificial Intelligence.
Dr Samiya Khan is an alumna of University of Delhi, India and did her PhD in Computer Science from Jamia Millia Islamia, India. She is currently working as Lecturer in Computer Science at University of Greenwich, United Kingdom. Previously, she served as a postdoctoral research fellow at University of Wolverhampton, United Kingdom. She has contributed more than 20 research papers and her publications extend across journal articles and book chapters in high impact publications of international repute. She has also presented her research at reputed international conferences. She has served as Associate Editor, Scientific India Magazine and reviewer for many reputed journals and conferences. Besides this, she has authored a book entitled 'Big Data and Analytics' and co-edited many books including ‘Internet of Things (IoT): Concepts and Applications’ published by Springer Nature, Switzerland and 'Extended Reality for Healthcare Systems: Recent Advances in Contemporary Research' published by Elsevier. Samiya’s expertise spans across data science, Artificial Intelligence, edge computing and the Internet of Things (IoT) with experience in development of heterogeneous systems.
