Artificial Intelligence in Healthcare & COVID-19

Editor

Prof. Parag Chatterjee | National Technological University, Argentina & University of the Republic, Uruguay

Publisher

Elsevier

About the Book

Healthcare paradigms have seen the eventual shift to technology-enhanced healthcare in the recent years, thanks to the development in sectors like Artificial Intelligence, Internet of Things, smart devices etc. Clearly, health informatics is a transdisciplinary domain, involving multifarious fields. With the advent of COVID-19 pandemic, the healthcare sector across the globe has received strong shudders and artificial intelligence plays an important role in dealing with the emergent challenges. Predictive data analysis especially during the pandemic times hold immense potential in different areas like early detection of infections, fast contact tracing, decision- making models and risk profiling of cohorts and remote treatment. Apart from the applications of Artificial Intelligence in healthcare during COVID-19, due to the massiveness of the domain, it encounters challenges like interoperability, lack of unified structure for eHealth, data privacy and security, making the discussion domain even wider.

This book presents a two-fold approach — on one hand it discusses the fundamentals and theoretical concepts of applying AI in healthcare pertaining to COVID-19, and on the other hand it showcases some impactful and trending research in this field, discussing the corresponding opportunities and challenges.

It consists of two broad domains — the first part provides a landscape view to the applied aspect of AI in healthcare related COVID-19 through case studies and innovative applications, the second part discusses the key concerns, and challenges in the field of AI in eHealth during the pandemic, along with other allied fields like IoT and medical informatics, creating a broad platform of transdisciplinary discussion.

We cordially invite you to to contribute chapters in this book focused to the theme of Artificial Intelligence in healthcare and COVID-19.

Topics

Topics include (but are not limited to):

· Intelligent Detection & Diagnosis of COVID-19 Cases

· COVID-19 Vulnerability Analysis Using Fuzzy-Logic Systems

· Medical Imaging for Automated COVID-19 Risk Profiling

· AI To Analyze Pharmaceutical Interventions for COVID-19

· Predictive Models for Hospital Stays and Virtual Care

· Computational Genomic Sequencing for COVID-19

· AI Toward Improved Triage Process Prior SARS-COV-2 RT-PCR Test

· AI For Ambient Assisted Living Post-COVID-19

· AI for Psychological Support to Caregivers During COVID-19

· COVID-19 Drug Repurposing Using AI

· Impact of COVID-19 on Nervous System and Affective Computing

· Internet of Medical Things Toward COVID-19

· Mobile Apps and Decision Trees in COVID-19 Perspective

· Inter-Entity Data Exchange for COVID-19

· Data Security with Shareable EHR During COVID-19

· Future Scope of Artificial Intelligence in Healthcare For COVID-19

Timeline

• Full Chapters due: 31 May 2021

Deadlines have been extended.
Please submit your Full Chapter at https://easychair.org/conferences/?conf=elseviercovid19ai

Chapter submission

Please submit your Chapter Proposals and Full Chapters directly through EASYCHAIR https://easychair.org/conferences/?conf=elseviercovid19ai using the following template

For inquiries, please get in touch with the editor

Prof. Parag Chatterjee | paragc@ieee.org