AixIA, the Italian Association for Artificial Intelligence, has launched to the entire European community of artificial intelligence the proposal to join forces to create a task force able to support government agencies, public institutions and health system in the management of the pandemic crisis by

Europe responded positively and quickly to the request for cooperation and cohesion from Italy.

Thanks to the support and effort of the artificial intelligence research network Claire, Confederation of Artificial Intelligence Research Laboratories in Europe, the initiative has become a reality and there are already many researchers who, on a voluntary basis, have decided to put

Piero Poccianti, President AixIA

• I believe that in this moment of serious emergency the password must be collaboration The whole European artificial intelligence community has a duty to provide and share skills, achievements already developed and ready, short-, medium- and long-term projects.

Claire’s Covid-19 task force is led by Emanuela Girardi, member of the expert group of IA of MiSE and AixIA, and Gianluca Bontempi, Professor of machine learning at UL

What artificial intelligence can do to counter Covid-19

Areas where artificial intelligence could be successfully used to cope with the health emergency include data analysis, robotics, manufacturing, optimization and resource management.

Analysis of intensive care data: it is widely recognised that machine learning techniques excel in the analysis of complex systems in data-rich environments. Predictive models could be used to highlight some phenomena in advance and to better assess priorities in triage and therapy. In addition, the use of machine learning in the evaluation process of antiviral drugs could help doctors make better and faster choices between different therapeutic options.

Epidemiological data analysis: Historical data could be used to develop predictory models of virus spread. In addition, causal inference techniques could be used to assess the impact of containment actions.

Analysis of mobility data: this could be used to identify high risk areas and plan related interventions to reduce the spread of infections.

Molecular and protein data analysis: some existing drugs may be refactored to counter the effects of Coronavirus. Bioinformatics and artificial intelligence technologies can reduce the exponential number of combinations on which to test existing drugs.

Analysis of literature and scientific articles: natural language analysis techniques can be used to facilitate access and analysis of literature information, as shown by the Covid-19 Open Research Dataset (CORD-19) (29,000 academic articles for Covid-19)

Remote monitoring: e-Health devices can be used to collect some basic parameters (blood pressure, heartbeat, temperature, blood oxygenation) of infected people. These data could be analyzed by an artificial intelligence algorithm to predict in advance if the patient requires hospitalization.

Use of Computer Tomography (TC) scans: Automatic processing of CT images could help doctors accelerate detection of disease caused by the virus.

Fake News automatic detection: can prevent the spread of false information and fraud on social networks.

Chatbots: can be used for informational or diagnostic purposes to support emergency call centers, freeing resources that can be dedicated to interaction with people and triage.

3D printing: 3D printing can be used to print intensive care material (spare parts for breathing, ventilation valves).

Robotics: Robots could be used to interact with infected people or disinfect infected areas, reducing the risk for human operators and freeing resources.

Resource planning and management: automatic problem resolution methods can be used to help poor resource programming in hospitals (calendar and turnout, beds, fans, personnel, warehouses).

Claire provides experience in artificial intelligence ethics to help governments and the public sector in the difficult task of safeguarding European values to the highest possible degree while protecting the health and well-being of citizens in Europe.

Working with sensitive data, all researchers are committed to full respect for the privacy of European citizens, in accordance with the fundamental rights and regulations that exist.

AixIA is collecting the main applications and projects developed in Italy to share them and make them accessible to a wider community of potential developers and users.

There are several cases of apps or programs already operating locally in Italy or Europe that can also be disseminated through this channel and give concrete benefits and aid to more hospitals, doctors, institutions and citizens.

Leave a Reply

Your email address will not be published.

You May Also Like