EAIH2022: Edge-AI in Healthcare: Trends and future perspective |
Submission link | https://easychair.org/conferences/?conf=eaih2022 |
Abstract registration deadline | November 30, 2021 |
Submission deadline | March 31, 2022 |
Edge-AI in Healthcare: Trends and future perspective (EAIH 2022)
Call For Book Chapters
Aim and Scope
The book will provide comprehensive research ideas about Edge-AI technology that can assist doctors in making better data-driven decisions and will provide insights to researchers about the healthcare industry, trends and future perspectives. The theme of the book has the potential to highlight Edge-AI applications that are designed to address specific, real-world use cases that make the diagnosis, monitoring, and treatment of patients more efficient, accurate, and available to populations around the world. The scope of the book also includes different data techniques in healthcare data analysis, including machine learning and data mining. Additionally, it will illustrate different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks that will include applications and case studies across all areas of Edge-AI in healthcare data. The book aims to publish ideas that will be a valuable addition to the healthcare industry and help researchers in exploring future trends, simplifying decision-making and investigating structured and unstructured data.
PROPOSAL SUBMISSION
The full book chapter is needed from prospective authors before 11th Feb 2022. Acceptance of chapter will be communicated to lead chapter authors after a formal double-blind review process, to ensure relevance, quality and originality. The submission of chapters should be sent directly via easychair to editors.
List of Topics
I. Introduction to Edge-AI in Healthcare
Chapter 1.1 Data Usage, Analytics and Applications of Edge-AI in Healthcare
Chapter 1.2. Edge-AI tools and Techniques for Healthcare
Chapter 1.3 Architectures, frameworks, and models for Edge-AI in Healthcare
Chapter 1.4 Modelling and Simulation Techniques for Edge-AI in Healthcare
Chapter 1.5 Edge-AI, Machine Learning and Deep Learning Approaches for Healthcare
II. Edge-AI Implementations for Smart Healthcare
Chapter 2.1 AR/VR and Cloud Computing for Edge-AI in Healthcare
Chapter 2.2 Big Data Management and Processing using Edge-AI in Healthcare
Chapter 2.3 Edge-AI enabled Electronic Health Record
Chapter 2.4 Evolutionary Algorithms and Optimizations for Edge-AI in Healthcare
Chapter 2.5 Edge-AI enabled IoMT techniques and methods
III. Edge-AI Challenges and Opportunities in Healthcare
Chapter 3.1 Sustainability and Edge-AI Healthcare
Chapter 3.2 Case studies and Applications of Edge-AI Healthcare
Chapter 3.3 Edge-AI Ethics and Challenges in Healthcare
Chapter 3.4 Security, Privacy, and Trust related to Edge-AI in Healthcare
Chapter 3.5 Current & Future Trends of Edge-AI in Healthcare
Editors
- Dr Sonali Vyas, University of Petroleum and Energy Studies, Dehradun, vyas.sonali86@gmail.com
- Dr Akanksha Upadhyaya, Rukmini Devi Institute of Advanced Studies, Rohini, Delhi, akanksha0707@ gmail.com
- Prof. Deepshikha Bhargava, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, deepshikhabhargava@gmail.com
- Dr Vinod Kumar Shukla, Amity University, Dubai, United Arab Emirates, vinodkumarshukla@ gmail.com
Contact
All questions about submissions should be emailed to EAIH2022@gmail.com