Icometrix, VUB, UZ Brussel, KU Leuven, UZ Leuven, and UZ Antwerpen, together with hospitals and organizations worldwide, joined forces in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. icolung is the first CE-marked AI solution for CT resulting from a COVID-collaboration and offers fast and objective quantification of lung pathology on chest CT scans in admitted COVID-19 patients.
Evaluating the type, pattern, and extent of lung pathology on chest CT can help in the assessment, triage, and follow-up of COVID-19 patients. Currently, the health care system worldwide is overwhelmed by the surge of admitted COVID-19 patients, leading to an excessive workload and a shortage of resources and intensive care units (ICU) beds. Triage can help alleviate the increasing burden on the ICU and allocate resources. icolung has the potential of further decreasing workload in clinical practice by providing a fully automated assessment of the total and lobular disease burden.