A practical artificial intelligence system to diagnose COVID-19 using computed tomography: A multinational external validation study.

ABSTRACT: Computed tomography has gained an important role in the early diagnosis of COVID-19 pneumonia. However, the ever-increasing number of patients has overwhelmed radiology departments and has caused a reduction in quality of services. Artificial intelligence (AI) systems are the remedy to the current situation. However, the lack of application in real-world conditions has limited their consideration in clinical settings. This study validated a clinical AI system, COVIDiag, to aid radiologists in accurate and rapid evaluation of COVID-19 cases. 50 COVID-19 and 50 non-COVID-19 pneumonia cases were included from each of five centers: Argentina, Turkey, Iran, Netherlands, and Italy. The Dutch database included only 50 COVID-19 cases. The performance parameters namely sensitivity, specificity, acc

SUBMITTER: Ardakani AA 

PROVIDER: S-EPMC8457921 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature