Current Landscape of Imaging and the Potential Role for Artificial Intelligence in the Management of COVID-19
Faiq Shaikh, Michael Brun Andersen, M. Rizwan Sohail, Francisca Mulero, Omer A. Awan, Diana Dupont-Roettger, Olga Kubassova, Jamshid Dehmeshki, Sotirios Bisdas
Abstract
The clinical management of COVID-19 is challenging. Medical imaging plays a critical role in the early detection, clinical monitoring and outcomes assessment of this disease. Chest x-ray radiography and computed tomography) are the standard imaging modalities used for the structural assessment of the disease status, while functional imaging (namely, positron emission tomography) has had limited application. Artificial intelligence can enhance the predictive power and utilization of these imaging approaches and new approaches focusing on detection, stratification and prognostication are showing encouraging results. We review the current landscape of these imaging modalities and artificial intelligence approaches as applied in COVID-19 management.