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.