美国的序列算法集成人工智能模型,用于高级肝纤维化查

Li-Da Chen¹, Ze-Rong Huang¹, Hong Yang¹+17

• ¹From the Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound (L.D.C., Z.R.H., M.Q.C., H.T.H., M.D. Li, R.F.L., H.H., S.M.R., W.P.K., M.D. Lu, X.Y.X., W.W.), Department of Traditional Chinese Medicine (X.Z.L.), Department of Pathology (B.L.), Department of Gastroenterology (B.H.Z.), and Department of Hepatobiliary Surgery (M.D. Lu), the First Affiliated Hospital of Sun Yat-sen University, No. 58 Zhongshan Rd 2, Guangzhou 510080, People's Republic of China; Department of Medical Ultrasound, the First Affiliated Hospital of Guangxi Medical University, Nanning, People's Republic of China (H.Y., P.L.); Department of Medical Ultrasonics, the Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, People's Republic of China (D.N.H.); and Department of Medical Ultrasonics, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China (Q.P.M., J.R.).