EAI AISCOVID-19 2021: 2nd EAI International Conference on AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart-Cities

EAI AISCOVID-19 2021 will be held as a fully-fledged online conference (with an on-site possibility).
If the local situation allows it, the event will take place on-site in its original location with an option for all authors to present remotely.

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Scope

COVID-19, known as the Corona Virus Disease 19, is a disease which created a significant impact in the world population from 2019 until current days. Moreover, there are a lot of uncertainty regarding transmission, detection and effective treatment. How it spreads, prevention measures and vaccinations issues need to be further investigation and tests. Artificial Intelligence (AI) and computer-assisted paradigms can play a key role in achieving many effective and efficient solutions. Currently, 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 could 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.

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Topics

The works that will be presented at conference will focus on the following topics:

- 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

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General Chair
José Machado - University of Minho, Portugal

General Co-Chair
Hugo Peixoto - University of Minho, Portugal

Technical Program Committee Chairs
José Luis Calvo Rolle - University of Coruna, Spain
Ichiro Satoh - National Institute of Informatics, Japan
Júlio Duarte - University of Minho, Portugal

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This event is organized by EAI (www.eai.eu).

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