Evidence map›Paper›PMID 35523548›Full record

ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2022

[Evaluation of brain injury caused by stick type blunt instruments based on convolutional neural network and finite element method].

Haiyan Li, Haifang Li, Guanglong He, Wengang Liu, Shihai Cui, Lijuan He, Wenle Lu, Jianyu Pan, Yiwu Zhou

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Haiyan LiInternational Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
Haifang LiInternational Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
Guanglong HeInstitute of Forensic Science, Ministry of Public Security, Beijing 100038, P. R. China.
Wengang LiuInternational Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
Shihai CuiInternational Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
Lijuan HeInternational Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
Wenle LuInternational Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
Jianyu PanInternational Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
Yiwu ZhouDepartment of Forensic Medicine, Tongji Medical College of Huazhong University of Science and Technology, Wuhan 430010, P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 (

Indexed as

Brain InjuriesNeural Networks, ComputerBrainComputer SimulationFinite Element AnalysisHumansConvolutional neural networkFinite element analysisLocal brain injuryStick blunt

Identifiers

PMID35523548
PMCPMC9927334

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.