Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.
Nat Commun
; 11(1): 4080, 2020 08 14.
Article
in English
| MEDLINE | ID: covidwho-717116
ABSTRACT
Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other clinical entities. Here we show that a series of deep learning algorithms, trained in a diverse multinational cohort of 1280 patients to localize parietal pleura/lung parenchyma followed by classification of COVID-19 pneumonia, can achieve up to 90.8% accuracy, with 84% sensitivity and 93% specificity, as evaluated in an independent test set (not included in training and validation) of 1337 patients. Normal controls included chest CTs from oncology, emergency, and pneumonia-related indications. The false positive rate in 140 patients with laboratory confirmed other (non COVID-19) pneumonias was 10%. AI-based algorithms can readily identify CT scans with COVID-19 associated pneumonia, as well as distinguish non-COVID related pneumonias with high specificity in diverse patient populations.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Artificial Intelligence
/
Tomography, X-Ray Computed
/
Coronavirus Infections
/
Clinical Laboratory Techniques
Type of study:
Cohort study
/
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
Limits:
Adolescent
/
Adult
/
Aged
/
Child
/
Child, preschool
/
Female
/
Humans
/
Male
/
Middle aged
/
Young adult
Language:
English
Journal:
Nat Commun
Journal subject:
Biology
/
Science
Year:
2020
Document Type:
Article
Affiliation country:
S41467-020-17971-2
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