(AI-OPiNE)

Christopher O Lew1, Evan Calabrese1, Joshua V Chen1

  • 1From the Department of Radiology, Duke University Medical Center, 2301 Erwin Rd, Box 3808, Durham, NC 27710 (C.O.L., E.C, A.L., J.F.); Department of Radiology (J.V.C., F.T., G.C., A.R., Y.L.) and Weill Institute for Neurosciences (Y.W.W.), University of California San Francisco, San Francisco, Calif; Department of Pediatrics, University of Washington, Seattle, Wash (S.J.); Department of Pediatrics, Saint Louis University, St Louis, Mo (A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); and Children's Hospital Los Angeles, University of Southern California, Los Angeles, Calif (J.L.W.).

概括

这项研究开发了一种使用新生儿大脑MRI的深度学习算法,用于预测患有缺氧缺血性脑病变的婴儿的神经发育结果. 该模型在预测两年后的结果方面表现出高准确性,有助于儿科预后.