• 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

Keywords: IoT; Artificial Intelligence; Machine Learning; Deep Learning; COVID-19; Computer-assisted systems; Security and privacy; OpenEHR; Snomed; FHIR

COVID-19 has been creating a significant impact in the world population from 2019 until current days. Moreover, there is a lot of uncertainty regarding its transmission, detection and effective treatment. The way it spreads, its prevention measures and vaccination issues are of further investigation and testing. Artificial Intelligence (AI) and computer-assisted paradigms can play a key role in achieving effective and efficient solutions. Nowadays smart cities infrastructure includes a number of smart devices having the sensing and data routing capabilities to communicate with each other using various protocols allowing the disease updates to be accessed any-time from anywhere. Such devices have the potential to provide innovative services which are not be possible in any other way. Innovative work should shed the light on potential mobile Internet, big data, artificial intelligence, cloud computing and other modern information technology that can build the required online and cost-efficient medical service platforms.

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.