Focal Liver Lesion Diagnosis With Deep Learning And Multistage Ct Imaging

This article discusses the development and performance of an AI system, LiLNet, in distinguishing between six common types of focal liver lesions. The system was tested and validated in various clinical settings and showed promising results compared to radiologists’ interpretations of contrast-enhanced CT images. The study also adhered to STARD guidelines and collected data from multiple hospitals.