The finite element method is a new method to study the mechanism of brain injury caused by blunt instruments. But it is not easy to be applied because of its technology barrier of time-consuming and strong professionalism. In this study, a rapid and quantitative evaluation method was investigated to analyze the craniocerebral injury induced by blunt sticks based on convolutional neural network and finite element method. The velocity curve of stick struck and the maximum principal strain of brain tissue (cerebrum, corpus callosum, cerebellum and brainstem) from the finite element simulation were used as the input and output parameters of the convolutional neural network The convolutional neural network was trained and optimized by using the 10-fold cross-validation method. The Mean Absolute Error (MAE), Mean Square Error (MSE), and Goodness of Fit (R2) of the finally selected convolutional neural network model for the prediction of the maximum principal strain of the cerebrum were 0.084, 0.014, and 0.92, respectively. The predicted results of the maximum principal strain of the corpus callosum were 0.062, 0.007, 0.90, respectively. The predicted results of the maximum principal strain of the cerebellum and brainstem were 0.075, 0.011, and 0.94, respectively. These results show that the research and development of the deep convolutional neural network can quickly and accurately assess the local brain injury caused by the sticks blow, and have important application value for understanding the quantitative evaluation and the brain injury caused by the sticks struck. At the same time, this technology improves the computational efficiency and can provide a basis reference for transforming the current acceleration-based brain injury research into a focus on local brain injury research.
To reduce the infection risk of 2019-novel coronavirus and to protect medical staffs, “Graded personal protection scheme for preventing medical staffs from 2019-novel coronavirus infection in West China hospital” was formulated according to the guidance and notice issued by the National Health Commission combined with the actual situation of West China Hospital. This scheme could provide reference for preventing such disease for medical staffs.
China is facing the serious situation of 2019-novel coronavirus (2019-nCoV) infection. The health care institutions have actively participated in the prevention, diagnosis, and treatment of the disease. Proper regulation of in-hospital policy may help control virus spreading. We developed seven key clinical questions about the prevention and control of 2019-novel coronavirus infection in hospital, and provided recommendations based on the best available evidence and expert experience. We interpreted the recommendations for better feasibility in Chinese hospital. The current recommendations provide evidence and reference for the domestic medical institutions to reasonably adjust the hospital workflow during 2019-nCoV infection period..