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COVID-19 In Vitro Diagnostic Devices and Test Methods Database

Scientific literature on COVID-19 Test Methods and Devices - detail

Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks

Detection Principle
Imaging-CT scan
Target
CT imaging
Testing Method Category
Other
Testing Method
artificial intelligence
Testing Method - Additional Info
Ten well-known convolutional neural networks were used to distinguish infection of COVID-19 from non-COVID-19 groups
Reported Performance
sensitivity: 100%; specificity: 99.02%; accuracy: 99.51%
Sample Size
194 patients
Peer-reviewed
yes

The database contains available information from scientific literature that is being updated periodically. Please note that the provided information (as retrieved from analysed papers) is provided only for devices commercially available with CE-IVD mark. Acknowledgements