Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study.

"Declarations GuarantorThe scientific guarantor of this publication is Ning Lang. Conflict of interestThe authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. Statistics and biometryNan Li (Peking University Third Hospital, Research Center of Clinical Epidemiology) kindly provided statistical advice for this manuscript. Informed consentWritten informed consent was obtained from all subjects (patients) in this study. Ethical approvalInstitutional Review Board approval was obtained. Study subjects or cohorts overlapNone of our study subjects or cohorts has been previously reported. Methodology• prospective• diagnostic study• performed at one institution Conflict of interest The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article."

"Funding This study has received funding by the Beijing Natural Science Foundation (grant number Z190020), National Natural Science Foundation of China (grant number 81971578), and National Natural Science Foundation of China (grant number 81871326)."