2020
DOI: 10.1016/s2589-7500(20)30222-3
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CT scan AI-aided triage for patients with COVID-19 in China

Abstract: to be associated with disease severity. 6 CT scans might also help identify individuals at high risk of having COVID-19, and possibly having worse outcomes. 7,8 Volumetric quantification, although outside the scope of this Article, could potentially be useful for severity assessment and for serial monitoring of patients. 9 However, future studies to investigate these clinically relevant outcomes are still needed.I declare no competing interests.

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Cited by 13 publications
(11 citation statements)
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“…Artificial intelligence could help better predict disease severity in subjects with Covid-19 (31,32), but requires large datasets, one of the reasons the STOIC project was launched.…”
Section: N P R E S Smentioning
confidence: 99%
“…Artificial intelligence could help better predict disease severity in subjects with Covid-19 (31,32), but requires large datasets, one of the reasons the STOIC project was launched.…”
Section: N P R E S Smentioning
confidence: 99%
“…Lung CT scan is providing supportive assistance in the early diagnosis and recovery monitoring of lung lesions in COVID-19. The AI-aided CT analysis could be used to identify the severity of patients and triage scientifically 25 , data has proven the reliability of artificial intelligence (AI) AI-aided CT quantification of lung lesion in COVID-19. 26…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, AI-aided CT analysis can be used to scientifically identify the severity and quantification of lung lesions in patients with COVID-19. 25,26…”
Section: Discussionmentioning
confidence: 99%
“…Extensive AI models based on deep learning have been developed, particularly for image classification. AI models corresponding to various modality images have been reported and include a model that classifies whether COVID-19 is present in the diagnosis of pneumonia by chest computed tomography 7 and a model that identifies asynergy in echocardiography images 8 . In addition, deep learning can handle not only images but also time-series data, such as language and waveform data 9 .…”
Section: Introductionmentioning
confidence: 99%