Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences最新文献_第7页

Risk factors and management strategies of liver cancer 肝癌的危险因素及治疗策略

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570794

X. Lan

{"title":"Risk factors and management strategies of liver cancer","authors":"X. Lan","doi":"10.1145/3570773.3570794","DOIUrl":"https://doi.org/10.1145/3570773.3570794","url":null,"abstract":"Liver cancer is one of the most common causes of global death, with a higher incidence in men than women. The morbidity of liver cancer is highest in East Asia and the Asia-Pacific region, and it is increasing gradually in other regions. The risk factors for liver cancer mainly include chronic HBV and HCV infection, alcoholism, obesity, aflatoxin exposure, diabetes, and other metabolic diseases. In addition, there is evidence that diet plays an important role in the development of liver cancer. Most of the primary liver cancer is hepatocellular carcinoma (HCC), while the rest is intrahepatic cholangiocarcinoma (ICC). Imaging and laboratory tests are effective diagnostic methods for HCC. Hepatectomy is the most preferred treatment for liver cancer, followed by liver transplantation, local ablation, chemotherapy, targeted therapy, radiotherapy, immunotherapy, and natural compound therapy. Monitoring high-risk individuals with chronic hepatitis C and cirrhosis could facilitate better long-term outcomes for HCC patients. This paper analyzes the etiology, diagnosis, and treatment of liver cancer to provide the research perspective for future studies.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133205836","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

Application of Artificial Intelligence Technology in the Field of Traditional Chinese Medicine 人工智能技术在中医领域的应用

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570847

Zhen-He Chen, Qi Li

引用次数: 0

The Impact of Regional Informatization on the Trade of Traditional Chinese Medicine Services 区域信息化对中药服务贸易的影响

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570798

Gao-qin Wang, Limin Sun

引用次数: 0

Breast Density Segmentation in Mammograms Based on Dual Attention Mechanism 基于双注意机制的乳腺密度分割

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570873

Jingyu Hu, Zhiqin Liu, Qingfeng Wang

{"title":"Breast Density Segmentation in Mammograms Based on Dual Attention Mechanism","authors":"Jingyu Hu, Zhiqin Liu, Qingfeng Wang","doi":"10.1145/3570773.3570873","DOIUrl":"https://doi.org/10.1145/3570773.3570873","url":null,"abstract":"In response to the problem that poor segmentation accuracy results from artifacts in the mammogram, this paper proposes combining the U-Net with Coordinated Attention and Attention Gates to enhance target feature information and suppress irrelevant regions. First of all, the INbreast dataset is preprocessed to remove external artifacts. Second, in the contracting path, enhance features of the Region of Interest(ROI) of the mammogram through the Coordinate Attention Module. Finally, in the expansive path, the local feature enhancement can be achieved by Attention Gates is used instead to combine the shallow layer and upsampling feature maps directly. The experimental results show that the proposed algorithm has a good segmentation effect for the mammogram, and its the Dice Similarity Coefficient (DSC) and the Intersection of Union(IoU) are 91.8% and 85.8%, respectively. Furthermore, we obtained DSC and IoU of 98.4%, 96.8%, respectively, for women with high breast density. Compared with the conditional Generative Adversarial Networks (cGAN) algorithm, the DSC increased by 3.36%, IoU increased by 5.91%. The better segmentation achieved can help doctors accurately judge breast density categories.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"17 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114095463","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

Clostridium Perfringens Alpha Toxin Inhibits Granulocyte Colony-Stimulating Factor 产气荚膜梭菌α毒素抑制粒细胞集落刺激因子

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570789

Juezhou Shen

{"title":"Clostridium Perfringens Alpha Toxin Inhibits Granulocyte Colony-Stimulating Factor","authors":"Juezhou Shen","doi":"10.1145/3570773.3570789","DOIUrl":"https://doi.org/10.1145/3570773.3570789","url":null,"abstract":"Clostridium perfringens is a gram-positive spore-forming anaerobic bacteria. C. perfringens is one of the most common causes of food poisoning illness and has a high mortality rate. As a growth factor, granulocyte colony-stimulating factor helps immune system maintain the balanced numbers of neutrophils when we are infected by pathogens. Clostridium perfringens alpha toxin promotes the formation of G-CSF. During the bacterial infection, lipopolysaccharide (LPS) is sensed through a Toll-like receptor 4 (TLR4) and myeloid differentiation factor 88 (MyD88)-dependent pathway. This leads to the increased secretion of G-CSF into the systemic circulation which accelerated the proliferation and differentiation of neutrophils. However, Clostridium perfringens impairs the granulopoiesis by decreasing the surface expression of neutrophil Ly6G+. The study will use mice, which were separate into positive control groups with C. perfringens injection and negative control group with phosphate-buffered saline. Employing a variety of procedures and methods, in vivo, such as FACS and ELISA, the paper investigates whether C. perfringens alpha toxin would inhibit granulocyte colony-stimulating factor, impairing granulopoiesis and inhibiting G-CSF-mediated cell proliferation of Ly6G+ neutrophils in a productive and effective way.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"681 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122974285","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

An efficient deep model for children sleep apnea detection using snoring signals 一种利用打鼾信号检测儿童睡眠呼吸暂停的高效深度模型

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570862

Zirui Liang, Yue Zhou, Lifeng Ding, Xiaying Chen

{"title":"An efficient deep model for children sleep apnea detection using snoring signals","authors":"Zirui Liang, Yue Zhou, Lifeng Ding, Xiaying Chen","doi":"10.1145/3570773.3570862","DOIUrl":"https://doi.org/10.1145/3570773.3570862","url":null,"abstract":"Obstructive sleep apnea-hypopnea syndrome(OSAHS) is a risky disorder that has negative effects on individuals’ sleep or health. Snoring signals are widely accepted as a reliable and practical alternative in detecting sleep apnea to diagnose OSAHS. Most of previous works paid attention to detecting snoring signals or classifying the places of obstruction. In this paper, diagnosis of OSAHS in children via snoring signals classification is taken into consideration. We build our dataset via gathering and labeling patients and normal children's nocturnal sound recordings. A convolutional neural network (CNN) in parallel with a Transformer encoder network is applied in our method to extract the temporal and frequency information from the acoustic feature sequences. In the experiment our method achieves an accuracy of 95.96% in classifying patients’ abnormal snoring events and the snoring from normal children and an accuracy of 84.78% in identifying normal snoring, patients’ normal snoring and patients’ abnormal snoring. This is acceptable for clinical purposes and indicates that it is competent to serve as a practical tool for diagnosis of OSAHS in children.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127101559","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

Effectiveness of Different Control Measures on the Spread of COVID-19 不同防控措施对新冠肺炎传播的效果分析

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570829

Qizhen Zhou

引用次数: 0

Research Progress of Crispr / Cas9 System in Hematological Diseases and Cancer Crispr / Cas9系统在血液病和肿瘤中的研究进展

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570830

Jingxuan Wu

引用次数: 0

A Special Multivariate Polynomial Model for Diabetes Prediction and Analysis 糖尿病预测与分析的特殊多元多项式模型

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570866

Fumin Wang, Jianzhuo Yan, Hongxia Xu

引用次数: 0

Intelligent Dental Triage System oriented on Dental Symptom Knowledge Base 基于口腔症状知识库的智能分诊系统

Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences Pub Date : 2022-10-13 DOI: 10.1145/3570773.3570793

Muyao Tang, Luwang Zhou, Yongheng Zhao, Yuntian Liu

{"title":"Intelligent Dental Triage System oriented on Dental Symptom Knowledge Base","authors":"Muyao Tang, Luwang Zhou, Yongheng Zhao, Yuntian Liu","doi":"10.1145/3570773.3570793","DOIUrl":"https://doi.org/10.1145/3570773.3570793","url":null,"abstract":"Dentistry, as a medical specialty, has many sub-departments and it's challenging for patient to correctly choose the specialties for their own oral diseases for treatment. The intelligent dental clinic triage system is designed to triage dental patients. The implementation of the intelligent dental clinic triage system will triage patients with different symptoms to the corresponding demtal sub-departments. Through accurate triage, the system utilization rate and the patient triage rate is increasing, the patient cancellation rate is reduced, and the patient time cost is saved. The triage system is constructed by modules including the self-developed symptom knowledge base, image library of symptom and Recommendation sub-department for patient registration. In order to make better use of the triage system, we optimized the process and set the entrance of the system to the dental registration of the WeChat public account. By optimizing the triage process, it finally got more than 101,000 clicks and over 17,000 users. As the data shows, we believe that the cancellation rate tends to decrease with the month, and the triage rate tends to increase with the month.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134641625","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