CT analysis using machine learning to address COVID-19

ellis 15 April 2020 - 15 April 2020

15 April 2020 • 14:10 - 14:25

(Radboud University)

Chest computed tomography (CT) has been shown to have a key role in the diagnosis and management of COVID-19 and is increasingly used in symptomatic patients with suspected nCoV infection. Artificial Intelligence (AI) using deep learning has been advocated for automated reading of COVID-19 CT scans but how these automatically generated readings produce clinically actionable findings is not properly addressed. In this talk I would like to discuss how we can steer this effort towards clinically meaningful approaches and present the initiative we are currently carrying out in the Netherlands.