The text covers applications, algorithms, and tools of distributed information processing in the healthcare sector. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.

Chapter 1: Healthcare Engineering Using AI and Distributed TechnologiesAshish Kumar, Bennett University, Greater Noida, Uttar Pradesh, IndiaPrince Sareen, Bharati Vidyapeeth’s College of Engineering, New Delhi, IndiaAman Arora, University of Texas, Austin, USA1.1 Introduction: 1.2 Related work1.3 Impact of AI in the healthcare industry 1.4 Transforming healthcare with distributed computing1.5 AI-based Robots in the healthcare ecosystem 1.6 Conclusion and Future ScopeChapter 2: Cloud Computing in Healthcare: A Systematic Study Raunak Negi, Jishnu Bhardwaj, and Preeti NagrathBharati Vidyapeeth’s College of Engineering, New Delhi, India2.1. Introduction2.2. Literature Review2.3. MEDLINE2.4 Monitoring Software for the Cloud2.5 Biomedicine and healthcare benefit from cloud computing2.6 Biotech Solutions in the Cloud2.7. Cloud-based Molecular Simulation Tools2.8 Cloud-based Medical Imaging Solutions2.9. Medical Solutions in the Cloud 2.10. Fog computing and healthcare 2.11. Threats with cloud computing2.12. Future Research 2.13 ConclusionChapter 3: Medical Information Extraction of Clinical Notes and Pictorial Visualization of Electronic Medical Records Summary InterfacePraveen Singh and Gopal ChaudharyBharati Vidyapeeth’s College of Engineering, New Delhi, IndiaJoao Alexandre Lobo MarquesUniversity of Saint Joseph Macau, China3.1 Introduction3.2 Related works3.3 Pictorial Visualization of data3.4 Methodology for information extraction3.5 Results3.6 Conclusion and future workChapter 4: Investigations on RFID Enabled Healthcare Usage and Adoption IssuesPankaj Palta, Rahul Kakkar, Sumeet Goyal, Manvinder SharmaCGC – College of Engineering, Punjab, IndiaJoginder Singh, Chandigarh Group of Colleges, Punjab, India4.1 Abstract4.2 Background 4.3 RFID in Health Care System4.4 RFID Adoption Issues4.5 ConclusionReferencesChapter 5: Photonic crystal fiber plasmonic sensor for applications in medicineMonika Kiroriwal and Poonam SingalDeenbandhu Chhotu Ram University of Science & Technology, Murthal, Haryana, India5.1 Introduction5.2 Background and development of photonic crystal fiber 5.3 Plasmonic sensor based on photonic crystal fiber5.4 Fabrication Techniques5.5 Future applications of plasmonic sensors5.6 ConclusionChapter 6: (Augmented reality as a boon to disability)Ashish KumarBennett University, Greater Noida, Uttar Pradesh, IndiaRaja Bharati Vidyapeeth’s College of Engineering, New Delhi, IndiaMuhammad Fazal ljazSejong University, Seoul, South Korea6.1 Introduction: Aim and real use cases of augmented reality6.2 Related work And Discussion6.3 Technology Advancement Using AR for Empowering Disabled People6.4 AR solutions for teaching specialized students6.5 AR accessible technology to people6.6 ConclusionChapter 7: (Augmented and Virtual Reality: Transforming the Future of Psychological and Medical Sciences)Gurjinder Singh, Anjali Kataria, Shinnu Jangra, Rubina Dutta, Archana MantriChitkara University Institute of Engineering and Technology, Punjab, IndiaJasminder Kaur Sandhu Chandigarh University, Gharuan, Mohali, India.Thennarasan SabapathyUniversiti Malaysia Perlis (UniMAP), Perlis, Malaysia7.1. Introduction7.2 Use of AR Technology in Medical Science7.3 Challenges and Opportunities7.4 ConclusionChapter 8: Artificial Intelligence in Healthcare: Perspectives from Post-Pandemic timesTapash Rudra Amity Institute of Biotechnology, Amity University, Kolkata, IndiaShyam Bihari Goyal City University, Selagor, Malaysia8.2 Introduction8.3 Applications of artificial intelligence (AI) in healthcare before Covid-19 pandemic8.4 An Account of artificial intelligence (AI) guided aids in healthcare: Scenario from post pandemic times8.5 Discussion8.6 ConclusionChapter 9: Bioweapons v/s Computer Based Counter Measure Techniques and Mathematical modeling for prediction of Covid-19Joginder Singh, Gurinderjit Kaur Chandigarh Group of Colleges, Landran, Punjab, IndiaRinkesh Mittal, Sukhdeep Kaur, Kuldeep SharmaChandigarh Engineering College, Landran, Punjab, India9.1 Introduction and history9.2 Genetically Engineered pathogens 9.3 Counter measure by computer based techniques9.4 Mathematical model for COVID-19 Prediction9.5 ConclusionChapter 10: Evolution of Healthcare Sector and Evolving Cyber Attacks – A SummaryJai Ganesh Sekar, Arun Chokkalingam, Dhivya KesavanRMK College of Engineering and Technology, Tami Nadu, India10.1 Healthcare industry and its revolution:10.2 Role of Distributed System in Health Care10.3 Why Healthcare is the biggest target for cyber attackers?10.4 Cyber-attacks in healthcare industries - an infographic10.5 Most frequent attacks in health industries and remedial measures10.6 Research trends in cybersecurity for the health care sector10.7 Conclusion – Defending Healthcare sector from CyberattacksChapter 11: Improving Cardiovascular Health by Deep learningShiva Tushir,Panipat Institute of Engineering and Technology, Samalkha, Panipat, India11.1 Introduction11.2. Machine Learning11.3 Next Generation Machine Learning11.4 Applications of Artificial Intelligence for Cardiovascular Health11.5 Future Scope11.6 Challenges 11.7 Conclusion