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.
{"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}
Artificial Intelligence (AI), as a broad cross and frontier science, has been integrated into many fields of human society. It has also been innovatively developed in the field of Traditional Chinese Medicine (TCM), and the achievements of artificial intelligence in traditional Chinese medicine have become more and more abundant. This article mainly introduces the main achievements and applications of Artificial Intelligence in the field of Traditional Chinese Medicine in recent years, with the aim of providing some reference for the development of artificial intelligence in the field of Traditional Chinese Medicine in the future.
{"title":"Application of Artificial Intelligence Technology in the Field of Traditional Chinese Medicine","authors":"Zhen-He Chen, Qi Li","doi":"10.1145/3570773.3570847","DOIUrl":"https://doi.org/10.1145/3570773.3570847","url":null,"abstract":"Artificial Intelligence (AI), as a broad cross and frontier science, has been integrated into many fields of human society. It has also been innovatively developed in the field of Traditional Chinese Medicine (TCM), and the achievements of artificial intelligence in traditional Chinese medicine have become more and more abundant. This article mainly introduces the main achievements and applications of Artificial Intelligence in the field of Traditional Chinese Medicine in recent years, with the aim of providing some reference for the development of artificial intelligence in the field of Traditional Chinese Medicine in the future.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"260 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113993778","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}
With the continuous improvement of China's urban construction level, the service trade method of TRADITIONAL Chinese medicine is gradually popularized. Therefore, targeted quantitative design should be carried out in combination with the actual requirements of production to ensure that the designed TRADE in TCM services can meet the actual production requirements. In this paper, the characteristics of ontology design of regional informatization are described in depth. On this basis, the overall design of traditional Chinese medicine service trade system of regional informatization and the optimization design of regional informatization have certain reference significance for technical personnel engaged in related work.
{"title":"The Impact of Regional Informatization on the Trade of Traditional Chinese Medicine Services","authors":"Gao-qin Wang, Limin Sun","doi":"10.1145/3570773.3570798","DOIUrl":"https://doi.org/10.1145/3570773.3570798","url":null,"abstract":"With the continuous improvement of China's urban construction level, the service trade method of TRADITIONAL Chinese medicine is gradually popularized. Therefore, targeted quantitative design should be carried out in combination with the actual requirements of production to ensure that the designed TRADE in TCM services can meet the actual production requirements. In this paper, the characteristics of ontology design of regional informatization are described in depth. On this basis, the overall design of traditional Chinese medicine service trade system of regional informatization and the optimization design of regional informatization have certain reference significance for technical personnel engaged in related work.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"54 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":"115720495","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}
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.
针对乳房x光图像中存在伪影导致分割精度不高的问题，本文提出将U-Net与协调注意和注意门相结合，增强目标特征信息，抑制不相关区域。首先，对INbreast数据集进行预处理以去除外部工件。第二，在收缩路径中，通过协调注意模块增强乳房x光片感兴趣区域(ROI)的特征。最后，在扩展路径中，直接将浅层特征映射与上采样特征映射结合，采用注意门来实现局部特征增强。实验结果表明，该算法对乳房x线图像具有良好的分割效果，其Dice Similarity Coefficient (DSC)和Intersection of Union(IoU)分别为91.8%和85.8%。此外，我们获得的DSC和IoU分别为98.4%和96.8%的乳腺密度高的妇女。与条件生成对抗网络(cGAN)算法相比，DSC提高了3.36%，IoU提高了5.91%。更好的分割可以帮助医生准确判断乳腺密度类别。
{"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}
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.
{"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}
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.
{"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}
The COVID-19 pandemic has influenced most of the population worldwide. It is essential to assess the effectiveness of different control measures on the spread of the virus. In this paper, the author uses an SEIR agent-based model on the NetLogo platform to establish a simulation model and define seven types of agents: susceptible, infectious, mask-wearing, quarantined, exposed, and vaccinated. We performed an analysis of four possible scenarios: (1) doing nothing, (2) quarantine, (3) using face masks, and (4) vaccination. It is concluded that the adoption of different control measures could quickly control the epidemic situation. The use of vaccination also has a huge impact on the pressure of epidemic control. Nevertheless, If control measures are not put in place, the duration of the epidemic will be significantly prolonged.
{"title":"Effectiveness of Different Control Measures on the Spread of COVID-19","authors":"Qizhen Zhou","doi":"10.1145/3570773.3570829","DOIUrl":"https://doi.org/10.1145/3570773.3570829","url":null,"abstract":"The COVID-19 pandemic has influenced most of the population worldwide. It is essential to assess the effectiveness of different control measures on the spread of the virus. In this paper, the author uses an SEIR agent-based model on the NetLogo platform to establish a simulation model and define seven types of agents: susceptible, infectious, mask-wearing, quarantined, exposed, and vaccinated. We performed an analysis of four possible scenarios: (1) doing nothing, (2) quarantine, (3) using face masks, and (4) vaccination. It is concluded that the adoption of different control measures could quickly control the epidemic situation. The use of vaccination also has a huge impact on the pressure of epidemic control. Nevertheless, If control measures are not put in place, the duration of the epidemic will be significantly prolonged.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"16 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":"127469239","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}
In recent years, gene editing technology has made great breakthroughs in the treatment of various genetic diseases by knockout, mutation, replacement or addition of DNA. Based on this system, scientists developed a new genome editing technology—CRISPR / Cas9 technology. CRISPR / Cas9 technology has shown great potential in the treatment of many diseases, bringing new possibilities for the treatment of many diseases. Compared with many traditional therapies, the CRISPR / Cas9 system has higher precision, simpler and more convenient operation, and less chance of off-target effects. This paper mainly introduces the basic principle of the CRISPR / Cas9 system and its application in hematological diseases and cancer, aiming to further promote the application of the CRISPR / Cas9 system in clinical diseases.
{"title":"Research Progress of Crispr / Cas9 System in Hematological Diseases and Cancer","authors":"Jingxuan Wu","doi":"10.1145/3570773.3570830","DOIUrl":"https://doi.org/10.1145/3570773.3570830","url":null,"abstract":"In recent years, gene editing technology has made great breakthroughs in the treatment of various genetic diseases by knockout, mutation, replacement or addition of DNA. Based on this system, scientists developed a new genome editing technology—CRISPR / Cas9 technology. CRISPR / Cas9 technology has shown great potential in the treatment of many diseases, bringing new possibilities for the treatment of many diseases. Compared with many traditional therapies, the CRISPR / Cas9 system has higher precision, simpler and more convenient operation, and less chance of off-target effects. This paper mainly introduces the basic principle of the CRISPR / Cas9 system and its application in hematological diseases and cancer, aiming to further promote the application of the CRISPR / Cas9 system in clinical diseases.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"18 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":"121807092","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}
Diabetes is one of the most common diseases worldwide. High level of blood sugar in diabetes patients can harm a large number of the body's system. Early prediction of diabetes can prevent or delay the disease. Various machine learning methods are used to predict diabetes in the past. Researchers usually aim for higher accuracy, the models used become more and more complex and their decision-making process is extremely difficult understood by users. However, explainability of a model is also critical to prediction task in medicine. A model which can enable users to easily understand its decision-making logic while maintaining good accuracy is more likely to be trusted by users. Therefore, we propose a special multivariate polynomial model to predict diabetes. This model has ability to show the relationship between each medical factor and diabetes with some polynomial curves, and the product of these curves and a specific constant is the decision-making process of the model. The experiment results show that our model also has a good accuracy compare with some other methods.
{"title":"A Special Multivariate Polynomial Model for Diabetes Prediction and Analysis","authors":"Fumin Wang, Jianzhuo Yan, Hongxia Xu","doi":"10.1145/3570773.3570866","DOIUrl":"https://doi.org/10.1145/3570773.3570866","url":null,"abstract":"Diabetes is one of the most common diseases worldwide. High level of blood sugar in diabetes patients can harm a large number of the body's system. Early prediction of diabetes can prevent or delay the disease. Various machine learning methods are used to predict diabetes in the past. Researchers usually aim for higher accuracy, the models used become more and more complex and their decision-making process is extremely difficult understood by users. However, explainability of a model is also critical to prediction task in medicine. A model which can enable users to easily understand its decision-making logic while maintaining good accuracy is more likely to be trusted by users. Therefore, we propose a special multivariate polynomial model to predict diabetes. This model has ability to show the relationship between each medical factor and diabetes with some polynomial curves, and the product of these curves and a specific constant is the decision-making process of the model. The experiment results show that our model also has a good accuracy compare with some other methods.","PeriodicalId":153475,"journal":{"name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","volume":"61 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":"125659831","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}
Muyao Tang, Luwang Zhou, Yongheng Zhao, Yuntian Liu
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.
{"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}
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