Published online Jun 24, 2021. doi: 10.5306/wjco.v12.i6.437
Peer-review started: January 19, 2021
First decision: April 6, 2021
Revised: April 7, 2021
Accepted: June 2, 2021
Article in press: June 2, 2021
Published online: June 24, 2021
Processing time: 153 Days and 4 Hours
Core Tip: Unprecedented times of a pandemic pose a major challenge in maintaining adequate balance between the risk of contracting deadly coronavirus disease 2019 (COVID-19) against the dire consequences of delaying treatment for a life-threatening malignancy. Cancer survivors and patients represent a vulnerable population for COVID-19 related pulmonary syndrome, which can further complicate respiratory and cardiovascular comorbidities they possess. Risk stratification of bronchogenic carcinoma patients and priority imaging may be applied for optimal use of resources during these uncertain times of COVID-19. Utilizing artificial intelligence and deep learning modules based on pattern recognition of image findings during this pandemic has made a lasting impact across future realms.
