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Grace Yoojin Lee1, Chang Hwan Sohn1, Dongwon Kim1

  • 1From the Department of Medical Science (G.L.), Department of Convergence Medicine (D.K. previously, Y.N., J.Y., N.K.), and Department of Radiology and Research Institute of Radiology (J.Y., N.K.), Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Department of Emergency Medicine (C.S., W.K.) and Department of Neurology (S.J.), Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea; Mathpresso, Inc. (D.K. currently), Seoul, Republic of Korea; Healthcare Readiness Institute for Unified Korea (S.H.), Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea.

概括

机器学习模型使用大脑MRI特征准确预测一氧化碳中毒患者中延迟神经元序列 (DNS) 风险. 这有助于早期干预和预防严重并发症.

相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...