Automated machine learning for the identification of asymptomatic COVID-19 carriers based on chest CT images.

"Declarations Ethics approval and consent to participateInformed consent was waived for this retrospective case‒control study by the Ethics Committee of the First Affiliated Hospital of Soochow University (No.109). This retrospective study was performed in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of the First Affiliated Hospital of Soochow University (No.109). This study did not involve the use of human embryos and gametes, human embryonic stem cells or related materials. Consent for publicationNot applicable. Competing interestsThe authors declare no competing interests. Competing interests The authors declare no competing interests."

"Funding This research was funded by the Youth Program of Suzhou Health Committee of Jinzhou Zhu, grant number KJXW2019001. This research was funded by the National Natural Science Foundation of China of Cuiping Fu, grant number 82100109, and by Jiangsu Provincial medical Key Discipline (ZDXK202201). The funding body played no role in the design of the study and collection, analysis, interpretation of data, or writing of the manuscript."