将大型语言模型和人类阅读器精度与"新英格兰医学杂志"的图像挑战案例图像输入进行比较

Pae Sun Suh¹, Woo Hyun Shim¹, Chong Hyun Suh¹+12

• ¹From the Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea (P.S.S.); Department of Radiology and Research Institute of Radiology (W.H.S., C.H.S., K.J.P., P.H.K., S.J.C., Y.A., S.P., H.Y.P., N.E.O.), Department of Medical Science, Asan Medical Institute of Convergence Science and Technology (W.H.S., H.H.), and Department of Internal Medicine (C.Y.W.), Asan Medical Center, University of Ulsan College of Medicine, Olympic-ro 33, Songpa-gu, 05505 Seoul, Republic of Korea; University of Ulsan College of Medicine, Seoul, Republic of Korea (M.W.H.); Department of Orthopaedic Surgery, Seoul Seonam Hospital, Republic of Korea (S.T.C.); and Department of Pulmonary and Critical Care Medicine, Gumdan Top Hospital, Incheon, Republic of Korea (H.P.).