This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in the human body, which would ultimately lead to early diagnosis and better treatment and cure of diseases with the help of distributed technology.
Covers the implementation models using technologies such as artificial intelligence, machine learning, and deep learning with distributed systems for better diagnosis and treatment of diseases.
Gives in-depth review of technological advancements like advanced sensing technologies such as plasmonic sensors, usage of RFIDs, and electronic diagnostic tools in the field of healthcare engineering.
Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders.
Highlights the future challenges and risks involved in the application of smart technologies such as cloud computing, fog computing, IOT, and distributed computing in healthcare.
Confers to utilize the AI and ML and associated aids in healthcare sectors in the post-Covid 19 period to revitalize the medical setup.
Contributions included in the book will motivate technological developers and researchers to develop new algorithms and protocols in the healthcare field. It will serve as a vast platform for gaining knowledge regarding healthcare delivery, health- care management, healthcare in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical fields.
Edited by:
Preeti Nagrath (Bharati Vidyapeeth’s Coll of Engg India),
Jafar A. Alzubi (Al-Balqa Applied Uni,
Jordan),
Bhawna Singla (Panipat Ins of Engg & Tech,
India),
Joel J. P. C. Rodrigues (Instituto de Telecomunicações,
Portugal),
A. K. Verma (Thapar Uni,
India)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions:
Height: 234mm,
Width: 156mm,
Weight: 460g
ISBN: 9781032183473
ISBN 10: 1032183470
Series: Explainable AI XAI for Engineering Applications
Pages: 184
Publication Date: 21 April 2023
Audience:
College/higher education
,
Primary
Format: Hardback
Publisher's Status: Active
Chapter 1: Healthcare Engineering Using AI and Distributed Technologies Ashish Kumar, Bennett University, Greater Noida, Uttar Pradesh, India Prince Sareen, Bharati Vidyapeeth’s College of Engineering, New Delhi, India Aman Arora, University of Texas, Austin, USA 1.1 Introduction: 1.2 Related work 1.3 Impact of AI in the healthcare industry 1.4 Transforming healthcare with distributed computing 1.5 AI-based Robots in the healthcare ecosystem 1.6 Conclusion and Future Scope Chapter 2: Cloud Computing in Healthcare: A Systematic Study Raunak Negi, Jishnu Bhardwaj, and Preeti Nagrath Bharati Vidyapeeth’s College of Engineering, New Delhi, India 2.1. Introduction 2.2. Literature Review 2.3. MEDLINE 2.4 Monitoring Software for the Cloud 2.5 Biomedicine and healthcare benefit from cloud computing 2.6 Biotech Solutions in the Cloud 2.7. Cloud-based Molecular Simulation Tools 2.8 Cloud-based Medical Imaging Solutions 2.9. Medical Solutions in the Cloud 2.10. Fog computing and healthcare 2.11. Threats with cloud computing 2.12. Future Research 2.13 Conclusion Chapter 3: Medical Information Extraction of Clinical Notes and Pictorial Visualization of Electronic Medical Records Summary Interface Praveen Singh and Gopal Chaudhary Bharati Vidyapeeth’s College of Engineering, New Delhi, India Joao Alexandre Lobo Marques University of Saint Joseph Macau, China 3.1 Introduction 3.2 Related works 3.3 Pictorial Visualization of data 3.4 Methodology for information extraction 3.5 Results 3.6 Conclusion and future work Chapter 4: Investigations on RFID Enabled Healthcare Usage and Adoption Issues Pankaj Palta, Rahul Kakkar, Sumeet Goyal, Manvinder Sharma CGC – College of Engineering, Punjab, India Joginder Singh, Chandigarh Group of Colleges, Punjab, India 4.1 Abstract 4.2 Background 4.3 RFID in Health Care System 4.4 RFID Adoption Issues 4.5 Conclusion References Chapter 5: Photonic crystal fiber plasmonic sensor for applications in medicine Monika Kiroriwal and Poonam Singal Deenbandhu Chhotu Ram University of Science & Technology, Murthal, Haryana, India 5.1 Introduction 5.2 Background and development of photonic crystal fiber 5.3 Plasmonic sensor based on photonic crystal fiber 5.4 Fabrication Techniques 5.5 Future applications of plasmonic sensors 5.6 Conclusion Chapter 6: (Augmented reality as a boon to disability) Ashish Kumar Bennett University, Greater Noida, Uttar Pradesh, India Raja Bharati Vidyapeeth’s College of Engineering, New Delhi, India Muhammad Fazal ljaz Sejong University, Seoul, South Korea 6.1 Introduction: Aim and real use cases of augmented reality 6.2 Related work And Discussion 6.3 Technology Advancement Using AR for Empowering Disabled People 6.4 AR solutions for teaching specialized students 6.5 AR accessible technology to people 6.6 Conclusion Chapter 7: (Augmented and Virtual Reality: Transforming the Future of Psychological and Medical Sciences) Gurjinder Singh, Anjali Kataria, Shinnu Jangra, Rubina Dutta, Archana Mantri Chitkara University Institute of Engineering and Technology, Punjab, India Jasminder Kaur Sandhu Chandigarh University, Gharuan, Mohali, India. Thennarasan Sabapathy Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia 7.1. Introduction 7.2 Use of AR Technology in Medical Science 7.3 Challenges and Opportunities 7.4 Conclusion Chapter 8: Artificial Intelligence in Healthcare: Perspectives from Post-Pandemic times Tapash Rudra Amity Institute of Biotechnology, Amity University, Kolkata, India Shyam Bihari Goyal City University, Selagor, Malaysia 8.2 Introduction 8.3 Applications of artificial intelligence (AI) in healthcare before Covid-19 pandemic 8.4 An Account of artificial intelligence (AI) guided aids in healthcare: Scenario from post pandemic times 8.5 Discussion 8.6 Conclusion Chapter 9: Bioweapons v/s Computer Based Counter Measure Techniques and Mathematical modeling for prediction of Covid-19 Joginder Singh, Gurinderjit Kaur Chandigarh Group of Colleges, Landran, Punjab, India Rinkesh Mittal, Sukhdeep Kaur, Kuldeep Sharma Chandigarh Engineering College, Landran, Punjab, India 9.1 Introduction and history 9.2 Genetically Engineered pathogens 9.3 Counter measure by computer based techniques 9.4 Mathematical model for COVID-19 Prediction 9.5 Conclusion Chapter 10: Evolution of Healthcare Sector and Evolving Cyber Attacks – A Summary Jai Ganesh Sekar, Arun Chokkalingam, Dhivya Kesavan RMK College of Engineering and Technology, Tami Nadu, India 10.1 Healthcare industry and its revolution: 10.2 Role of Distributed System in Health Care 10.3 Why Healthcare is the biggest target for cyber attackers? 10.4 Cyber-attacks in healthcare industries - an infographic 10.5 Most frequent attacks in health industries and remedial measures 10.6 Research trends in cybersecurity for the health care sector 10.7 Conclusion – Defending Healthcare sector from Cyberattacks Chapter 11: Improving Cardiovascular Health by Deep learning Shiva Tushir, Panipat Institute of Engineering and Technology, Samalkha, Panipat, India 11.1 Introduction 11.2. Machine Learning 11.3 Next Generation Machine Learning 11.4 Applications of Artificial Intelligence for Cardiovascular Health 11.5 Future Scope 11.6 Challenges 11.7 Conclusion
Preeti Nagrath, Joel J. P. C. Rodrigues
