Artificial Intelligence to prevent health emergencies, the first results of the Trust Alert project
On 19 June in the Aula Magna “Giulio Bizzozero” the presentation of the first results of the research on Artificial Intelligence dedicated to epidemiological surveillance with the Compagnia San Paolo Foundation and the Cassa Depositi e Prestiti Foundation
Wednesday June 19th at 9.00 am at theAula Magna “Giulio Bizzozero” the workshop will be held in Corso Raffaello 30 in the university buildings of the historic “City of Science”. AI: TrustAlert. Health surveillance and Artificial Intelligence: addressing challenges and seizing opportunities in public healthorganized by Department of Clinical and Biological Sciences of theUniversity of Turinwith focus on new challenges and opportunities in public health thanks to the use of Artificial Intelligence (AI).
The workshop open to the entire academic and healthcare environment is a first public moment of discussion on the broader project “TrustAlert” winner of the funding tender from 1 million euros from the Compagnia San Paolo Foundation And Cassa Depositi e Prestiti Foundation.
The project coordinated by Prof. Paola Berchialla of the Department of Clinical and Biological Sciences focuses on the importance of timeliness in managing data in the new era of Big Data.
After the experience of the COVID 19 pandemic period, the challenge is to study an efficient system to adapt the collection and analysis of data in real time in order to avoid the fragmentation of data sources which has often been the cause of uncertainties and slowdowns in health emergency management policies.
Through an integrated platform, from an Open Science perspective, the TrustAlert project intends analyze data streams in real time coming from structured sources (hospital discharge records, medical visits) and unstructured sources (news, social media).
Among the main objectives:
- Mapping health status and morbidity patterns in the population using Artificial Intelligence applied to administrative health data for define priorities in case of emergency – coordinated by Prof. Paola Berchialla (University of Turin)
- Extract reliable clinical information from structured and unstructured data, implementing a system for detecting incoming health emergencies in order to anticipate trends and report potential future emergencies so as to promptly inform citizens and political decision makers – coordinated by Dr Mauro Dragoni (Bruno Kessler Foundation) and Dr Giuseppe Rizzo (Links Foundation).
- Create a living lab for simulations in order to optimize resource allocation in case of emergency and evaluate the effectiveness of prevention measures to allow effective support for decision makers and allow the planning of efficient prevention policies – coordinated by Prof. Marco Beccuti (University of Turin).
In this first meeting of scientific restitution and comparison, entitled “Health surveillance and Artificial Intelligence: facing the challenges and seizing the opportunities in public health” we will talk about the new emerging technologies and the innovative strategies implemented by the project team made up of the Department of Clinical and Biological Sciences and from Department of Computer Science of the University of Turin, fromUniversity of Eastern Piedmontfrom the “Bruno Kessler” Foundation (Trent) e LINKS Foundation (Turin), and by local authorities: I innovate, Small House of Divine Providence Cottolengo Hospital, Local Health Authority – CN2 Alba and Bra.
The meeting is in person and live streaming on UniTo Media, open to all, with the presence of Dr. Paola Nardone of the National Center for Disease Prevention and Health Promotion of the Istituto Superiore di Sanità, of Dr. Luigi De Angelis president of the Italian Society of Artificial Intelligence in Medicine SIIAM, by Profs. Guido Boella and Marco Grangetto of the University of Turin, in addition to the project team.
The workshop is an ECM accredited event by the Cottolengo Hospital for 6 training credits, code 997-48035.
