COVID-19, also known as Corona Virus Disease 19, is a disease that has had a substantial impact on the global population since its discovery in 2019. Furthermore, there is a great deal of confusion about how the disease is transmitted, detected, and treated. More research and tests are needed to determine how it spreads, as well as preventative and immunization difficulties. Many effective and efficient solutions can be achieved using Artificial Intelligence (AI) and computer-assisted paradigms. Smart cities infrastructure currently contains multiple smart devices with sensing and data routing capabilities that connect with one another using various protocols, allowing disease updates to be obtained at any time and from any
location.

These devices have the ability to provide novel services that would not otherwise be possible.
Innovative research should offer light on how mobile Internet, big data, artificial intelligence, cloud computing, and other modern information technology can be used to create the necessary online and cost-effective medical service platforms. Indeed, Decision Support Systems (DSS) and Healthcare Information

Technology is an undeniably hot area that will require in-depth study and research, as well as the scientific community’s attention.

• AI in the Internet of Medical Things (IoMT)
• AI in IoT-oriented medical applications
• AI and IoT paradigms in sustainable education systems
• AI/IoT solutions in smart cities traffic systems
• Deep Learning for COVID-19 and alike diagnosis
• Neural Network for medical diagnosis
• AI-oriented in hospital and online diagnosis
• Collaboration of Image Progressing and ML for COVID-19 and alike diagnosis
• Collaboration of Computer Communication and ML for COVID-19 and alike diagnosis
• Use cases of computer-assisted COVID-19 and alike detection systems
• COVID-19 Patient Care and Treatment using ML-oriented systems
• Emerging Networks solutions for improved medical diagnosis results
• Intelligent Hardware solutions for COVID-19 and alike diagnosis
• Effective use of computer communication and ML for solving open medical problems
• Healthcare standards and onthologies for effective information systems implementation such as OpenEHR,
  Snomed and FHIR
• Next Generation Networks (NGNs) and ML solutions for medical diagnosis
• Security and privacy aspects in medical diagnosis

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, such as Web of Science, Compendex, Scopus, DBLP, EU Digital Library, Google Scholar, IO-Port, MathSciNet, Inspec, and Zentralblatt MATH.

Authors of selected best accepted and presented papers will be invited to submit an extended version to:

• Mobile Networks and Applications (MONET) Journal (IF: 3.077)
• Springer Wireless Networks Journal (WINET) [IF: 2.701 (2020)]

All accepted authors are eligible to submit an extended version in a fast track of:

• EAI Endorsed Transactions on Pervasive Health and Technology (Open Access) – indexed in Scopus

Publication opportunities:

• EAI/Springer Innovations in Communications and Computing Book Series
  (titles in this series are indexed in Ei Compendex, Web of Science & Scopus)

This event is organized by EAI.

EAI – European Alliance for Innovation is a non-profit organization and a professional community established in cooperation with the European Commission to empower the global research and innovation, and to promote cooperation between European and International ICT communities.

EAI’s vision is to foster excellence in research and innovation on the principles of transparency, objectivity, equality, and openness. Our guiding principle is community cooperation to create better research, provide fair recognition of excellence and transform best ideas into commercial value proposition.

EAI‘s mission is to create an environment that rewards excellence transparently, and builds recognition objectively regardless of age, economic status or country of origin, where no membership fees or closed door committees stand in the way of your research career.

Through these shared values, EAI leads the way toward advancing the world of research and innovation, empowering individuals and institutions for the good of society to fully benefit from the digital revolution.