AI-for-COVID19 Predictive Diagnostics Platform Available to Global Scientific Community
The "AIforCOVID Imaging Archive" platform enables the sharing of radiographic images from COVID-19 patients and development of leading-edge Artificial Intelligence-based methods for predicting clinical developments of the disease caused by SARS-CoV-2.
The platform has been promoted and implemented by Bracco Imaging with Centro Diagnostico Italiano, in partnership with major Italian hospitals and public and private research institutes.
MILAN, May 17, 2021 /PRNewswire/ -- The AIforCOVID Imaging Archive is a shared collection of images and clinical data for developing innovative Artificial Intelligence-based methods to predict clinical developments of SARS-CoV-2-related disease. This valuable tool enables the international scientific community to share radiological and clinical data and find innovative solutions to combat the disease. The AIforCOVID Imaging Archive, which is available, open access to the global scientific community at https://aiforcovid.radiomica.it/, contains more than a thousand positive patient chest radiographic examinations carried out upon hospitalization. Each X-ray is associated with clinical information about the patient collected at that time.
Data was collected as part of the "AIforCOVID" no-profit multicentre research project, promoted by Bracco Imaging in partnership with the Centro Diagnostico Italiano. The initiative involved major hospitals and public/private research institutes such as the Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (Milan), Fondazione IRCCS Policlinico San Matteo (Pavia), Azienda ospedaliero-universitaria Careggi (Florence), ASST Santi Paolo e Carlo (Milan), ASST Fatebenefratelli-Sacco (Milan), ASST Ospedale San Gerardo (Monza), and the Ospedale Casa Sollievo della Sofferenza (San Giovanni Rotondo).
The Istituto Italiano di Tecnologia (IIT) of Genoa and Università Campus Bio-medico of Rome were responsible for data analysis and developed the artificial intelligence algorithms, working in partnership with the Centro Diagnostico Italiano and Bracco Imaging teams. These algorithms have the objective of identifying indicators of risk of a severe disease progression, providing physicians with a tool to evaluate the potential need for intensive therapy ahead of time.