Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences最新文献

Effect of vocal cord polyp on Mandarin tones recognition by native Chinese speakers 声带息肉对汉语母语者普通话声调识别的影响

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3429907

Bin Li, Infat Lo, Jiangping Kong

引用次数: 2

A Review on the Mechanisms of Mitochondrial Dynamics and the Relationship with Neurodegeneration 线粒体动力学机制及其与神经退行性变的关系研究进展

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3429941

Yanan Zhu

引用次数: 0

Design of a Smart Mattress Real-Time Monitoring System Based on ISO/IEEE 11073 基于ISO/IEEE 11073的智能床垫实时监控系统设计

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3429943

Ran Li, Yu Xu

{"title":"Design of a Smart Mattress Real-Time Monitoring System Based on ISO/IEEE 11073","authors":"Ran Li, Yu Xu","doi":"10.1145/3429889.3429943","DOIUrl":"https://doi.org/10.1145/3429889.3429943","url":null,"abstract":"The global trend of population aging is becoming more and more serious, and various chronic diseases have become the main cause of death of the elderly, but in practical application scenarios, medical and nursing staff cannot monitor the elderly for a long time at night, and it becomes difficult to collect various indicators of the elderly during sleep. At present, real-time personal status monitoring systems are receiving sufficient attention in personalized medical services. In this article, a smart mattress real-time monitoring system design based on ISO/IEEE 11073 standard is proposed. The smart mattress detects and monitors important parameters of the human body and is aware of the body posture and whether the person is leaving the bed or not. This smart mattress-based real-time monitoring system can perform effective and accurate measurements at night without medical personnel. However, this promising device has not been standardized yet. This paper provides the system design and 11073 protocol implementation ideas for the smart mattress, which mainly include domain information model, service model and communication model.","PeriodicalId":315899,"journal":{"name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116321538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Establishment and Application of Achievements Registration Workflow Based on Hospital Integrated Collaborative Office Platform 基于医院综合协同办公平台的成果登记工作流程的建立与应用

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3430082

Yuzhong Yan, Luming Zhao, Zhigang Sun, Jie Lin, Jinfeng Huang, Jian Zhang, Jiangxia Zhao, Ming Li

{"title":"Establishment and Application of Achievements Registration Workflow Based on Hospital Integrated Collaborative Office Platform","authors":"Yuzhong Yan, Luming Zhao, Zhigang Sun, Jie Lin, Jinfeng Huang, Jian Zhang, Jiangxia Zhao, Ming Li","doi":"10.1145/3429889.3430082","DOIUrl":"https://doi.org/10.1145/3429889.3430082","url":null,"abstract":"Objective The management of scientific research achievements is the key point of scientific research management in hospital. There are disadvantages in scientific research management system and traditional offline registration of scientific research achievements. The purpose of this study is to establish a workflow of achievements registration based on the hospital integrated collaborative office platform and promote its application in practice. Method This achievements registration process method was established after that the needs of each achievement management subject were analyzed. The workflow was designed. The process was visualized and the corresponding authority was set. And finally the workflow was continuously improved according to the operation feedback. Results The problems in the process of achievements registration were analyzed, including the identification of scientific research achievements, the recognition of achievements registration and the timely correction of filling errors, and the disposal measures were launched. Three principles need to be paid attention in the establishment of this workflow, including complete elements of achievements registration, accurate and true registration data and timely achievements registration. Conclusion The achievements registration workflow could be replicated in all levels of hospitals, and it was easy to be accepted and used by all hospital staff. At the same time, a new way was explored for the optimization of hospital scientific research management process.","PeriodicalId":315899,"journal":{"name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114877231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Arrhythmia Classifier Using a Layer-wise Quantized Convolutional Neural Network for Resource-Constrained Devices 基于分层量化卷积神经网络的资源受限设备心律失常分类器

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3429897

Zhiqing Li, Hongwei Li, Xuemei Fan, Feng Chu, Shengli Lu, Hao Liu

{"title":"Arrhythmia Classifier Using a Layer-wise Quantized Convolutional Neural Network for Resource-Constrained Devices","authors":"Zhiqing Li, Hongwei Li, Xuemei Fan, Feng Chu, Shengli Lu, Hao Liu","doi":"10.1145/3429889.3429897","DOIUrl":"https://doi.org/10.1145/3429889.3429897","url":null,"abstract":"An arrhythmia diagnosis neural network can perform real-time diagnosis through continuous monitoring, and it can warn against potential risks. Moreover, these networks can be installed in resources-constrained devices like wearable devices. However, the existing neural networks suffer from high memory consumption and power consumption, which limit their application in low-power resources-constrained devices. Here, we proposed a novel neural network classifier to classify 17 different rhythm classes using 1,000 long-duration electrocardiograms, achieving a classification accuracy of 95.72%, which is 4.32% higher than current state-of-the-art methods. Additionally, we proposed a layer-wise quantization method based on the greedy algorithm and compared it to other quantization methods. The proposed classifier achieved a 95.39% classification accuracy and reduced memory consumption by 15.5 times. Our study realizes a neural network with high performance and low resources consumption, and it demonstrates the possibility of implementing neural networks in resources-constrained devices for continuous monitoring, real-time diagnosis, and potential risk warnings.","PeriodicalId":315899,"journal":{"name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126319590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Whole scene reconstruction of medical service robots fused with key frame focus stack images 融合关键帧聚焦叠加图像的医疗服务机器人全场景重构

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3430077

Yanzhu Hu, Yingjian Wang, Song Wang

{"title":"Whole scene reconstruction of medical service robots fused with key frame focus stack images","authors":"Yanzhu Hu, Yingjian Wang, Song Wang","doi":"10.1145/3429889.3430077","DOIUrl":"https://doi.org/10.1145/3429889.3430077","url":null,"abstract":"Facing the precise service requirements of medical service robots in irregular environments, to solve the problem of scene depth estimation and medical service scene reconstruction of monocular robots, an algorithm framework for whole scene three-dimensional (3D) point cloud reconstruction based on scene focus stack images fusion with monocular SLAM sparse key frames is proposed. The algorithm first collects the focus stack image under the initial viewing angle through the medical service robot mobile terminal of the camera. On the server side, multi-frame focused images are iteratively reconstructed by light field imaging technology to reconstruct the scene depth image. Further generate a high-precision 3D point cloud reconstruction image of one single scene. Finally combine the sparse key frame information of the monocular SLAM on the mobile terminal and the camera movement pose information. The 3D point cloud reconstruction within the scope of the whole medical service scene is realized through multi-perspective point cloud matching. Provide scene point cloud reconstruction information for the target recognition and navigation of medical service robots.","PeriodicalId":315899,"journal":{"name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","volume":"387 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133467143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An End to End Thyroid Nodule Segmentation Model based on Optimized U-Net Convolutional Neural Network 基于优化U-Net卷积神经网络的端到端甲状腺结节分割模型

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3429903

Mengya Liu, X. Yuan, Yang'an Zhang, Kunliang Chang, Zhifang Deng, Jun Xue

{"title":"An End to End Thyroid Nodule Segmentation Model based on Optimized U-Net Convolutional Neural Network","authors":"Mengya Liu, X. Yuan, Yang'an Zhang, Kunliang Chang, Zhifang Deng, Jun Xue","doi":"10.1145/3429889.3429903","DOIUrl":"https://doi.org/10.1145/3429889.3429903","url":null,"abstract":"For current clinical diagnosis of thyroid nodules, thyroid ultrasound is one of the most valuable imaging examinations to evaluate thyroid diseases. There are many improved ultrasound equipment whose imaging mechanism will cause large imaging noise, blurred borders, complicated background, which certainly bring great challenges to the nodule segmentation. As a consequence, there will be disadvantages of poor segmentation accuracy or high model complexity when using the ordinary image segmentation methods. This paper proposes an Optimized U-Net convolutional neural network model of thyroid nodule segmentation method whose structure is mainly based on U-Net model and combines the advantages of residual network. The segmentation method is also combined with the TTA (test time segmentation) method, that is, the output is the weighted average of all prediction results of the input image after enhancement. The network model trained on 544 thyroid nodule images not only achieves the end-to-end segmentation output, but also can achieve a dice coefficient of 89.50% in the final verification set.","PeriodicalId":315899,"journal":{"name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115108559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Correlation between Pathological Voice Onset and Voice Quality Based on Vocal Attack Time(VAT) and Multidimensional Voice Parameters 基于语音攻击时间和多维语音参数的病理性语音发作与语音质量的相关性研究

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3430079

Nankai Wu, Qingsong Cao, Huanzhe Li, X. Hou, Infat Lo, Jiangping Kong

{"title":"Correlation between Pathological Voice Onset and Voice Quality Based on Vocal Attack Time(VAT) and Multidimensional Voice Parameters","authors":"Nankai Wu, Qingsong Cao, Huanzhe Li, X. Hou, Infat Lo, Jiangping Kong","doi":"10.1145/3429889.3430079","DOIUrl":"https://doi.org/10.1145/3429889.3430079","url":null,"abstract":"Correlation between pathological Voice Onset and Voice Quality of Chinese patients based on Vocal Attack Time(VAT) and Multidimensional Voice Parameters is discussed in this paper. The test subjects were divided into three groups, one is normal voice group and the other two are pathologic voice groups, namely, vocal cord polyps and non vocal cord polyps. We recorded the EGG signal for the above subjects and extracted the Jitter, Shimmer, HNR and VAT parameters by the relevant software. The VAT and other voice parameters at /a:/, /i:/ and /u:/ vowels were then compared and analyzed in different groups. The results showed that there was no significant difference in the VAT between the three groups at /a:/, /i:/, and /u:/ vowels. In addition, the analysis of VAT changes in a patient with vocal cord polyps before and after surgery revealed that neither the overall difference in stops nor the difference in manner of aspiration or not was significant, indicating VAT is not a specific indicator of vocal cord polyps.","PeriodicalId":315899,"journal":{"name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","volume":"134 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116707645","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Relevance Between Artificial Intelligence and Cognitive Science 人工智能与认知科学的相关性

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3429917

Can Jin

引用次数: 0

Effect of Total Flavones in Clematis Filamentosa Dunn against Myocardial Ischemia Reperfusion Injury by Adjusting Autophagy in Rats 铁线莲总黄酮通过调节自噬对大鼠心肌缺血再灌注损伤的影响

Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences Pub Date : 2020-09-11 DOI: 10.1145/3429889.3430081

Yang Nie, Huifang Chen, Lin Wu, L. Ding, Jianhua Yi, Hua Cao, Xiaoyan Cheng

{"title":"Effect of Total Flavones in Clematis Filamentosa Dunn against Myocardial Ischemia Reperfusion Injury by Adjusting Autophagy in Rats","authors":"Yang Nie, Huifang Chen, Lin Wu, L. Ding, Jianhua Yi, Hua Cao, Xiaoyan Cheng","doi":"10.1145/3429889.3430081","DOIUrl":"https://doi.org/10.1145/3429889.3430081","url":null,"abstract":"AIM To study the effect of total flavones of Clematis Filamentosa Dunn(TFCD) on adjusting autophagy against myocardial ischemia-reperfusion injury (MIRI). METHODS Forty male SD rats were divided randomly into five groups(n=8): sham group, model group(I/R), TFCD treatment group(TFCD), autophagy activator rapamycin treatment group(Rap) and TFCD+ rapamycin treatment group(TFCD+Rap). While Myocardial ischemia-reperfusion injury model was established by ligation of left anterior descending coronary artery (LAD) in rats. Hemodynamic indexes of heart were recorded, myocardial infarction area was observed, and serum lactate dehydrogenase (LDH), creatine kinase isoenzyme (CK-MB), total antioxidant capacity (T-AOC), nitric oxide (NO), inducible nitric oxide synthase (iNOS) and endothelial nitric oxide synthase (eNOS) were measured. The content of Caspase-3 and the activity of Caspase-3 were measured. The protein expression of autophagy associated genes LC3-II and Beclin1 in myocardium was detected by using RT-PCR and Western blot. RESULTS TFCD treatment remarkably improved hemodynamics function, reduced myocardial infarct size, enhanced the contents of T-AOC, NO and eNOS, decreased the contents of LDH, CK-MB, iNOS and the activity level of caspase-3(P<0.05 or P<0.01). In addition, TFCD treatment significantly inhibited the expression of autophagy-related proteins LC3-II and Beclin-1. Autophagy activator inhibited the effect of TFCD. CONCLUSION The cardioprotection of TFCD against myocardial ischemia reperfusion injury may be mediated through improving antioxidant, regulating NO, reducing apoptosis and inhibiting autophagy.","PeriodicalId":315899,"journal":{"name":"Proceedings of the 1st International Symposium on Artificial Intelligence in Medical Sciences","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134216193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1