Shuyu Jin, Xiaoyun Zhang, Xin Li, Min Cheng, Xiaodong Cui, Jianming Liu
{"title":"基于人工智能和数字人技术的医学人文教育教学模式的开发与应用","authors":"Shuyu Jin, Xiaoyun Zhang, Xin Li, Min Cheng, Xiaodong Cui, Jianming Liu","doi":"10.1109/ECEI57668.2023.10105419","DOIUrl":null,"url":null,"abstract":"Medical education has traditionally focused on clinical knowledge and skills. However, in recent years, medical humanities education has gained recognition as an essential component of medical training to improve medical students' understanding of medicine's social, cultural, and ethical aspects. With the advent of big data and artificial intelligence (AI), new opportunities have emerged to enhance the effectiveness of medical education. Thus, we propose a novel teaching model for medical humanities education that leverages AI and digital human technology to provide an interactive and engaging learning experience for medical students. In the context of educational practice, the primary purpose of this study is to build a digital simulator and virtual simulation experiment system based on big data and to explore the possibility of its application in the actual teaching process and the practical application results. In practice, a series of clinical teaching cases based on organ systems have been designed and applied to actual medical teaching through this technology. These teaching formats extend the depth and scope of medical teaching, enhance learning interest, and effectively achieve teaching objectives.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development and Application of Teaching Model for Medical Humanities Education using Artificial Intelligence and Digital Humans Technologies\",\"authors\":\"Shuyu Jin, Xiaoyun Zhang, Xin Li, Min Cheng, Xiaodong Cui, Jianming Liu\",\"doi\":\"10.1109/ECEI57668.2023.10105419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Medical education has traditionally focused on clinical knowledge and skills. However, in recent years, medical humanities education has gained recognition as an essential component of medical training to improve medical students' understanding of medicine's social, cultural, and ethical aspects. With the advent of big data and artificial intelligence (AI), new opportunities have emerged to enhance the effectiveness of medical education. Thus, we propose a novel teaching model for medical humanities education that leverages AI and digital human technology to provide an interactive and engaging learning experience for medical students. In the context of educational practice, the primary purpose of this study is to build a digital simulator and virtual simulation experiment system based on big data and to explore the possibility of its application in the actual teaching process and the practical application results. In practice, a series of clinical teaching cases based on organ systems have been designed and applied to actual medical teaching through this technology. These teaching formats extend the depth and scope of medical teaching, enhance learning interest, and effectively achieve teaching objectives.\",\"PeriodicalId\":176611,\"journal\":{\"name\":\"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-02-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECEI57668.2023.10105419\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECEI57668.2023.10105419","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Development and Application of Teaching Model for Medical Humanities Education using Artificial Intelligence and Digital Humans Technologies
Medical education has traditionally focused on clinical knowledge and skills. However, in recent years, medical humanities education has gained recognition as an essential component of medical training to improve medical students' understanding of medicine's social, cultural, and ethical aspects. With the advent of big data and artificial intelligence (AI), new opportunities have emerged to enhance the effectiveness of medical education. Thus, we propose a novel teaching model for medical humanities education that leverages AI and digital human technology to provide an interactive and engaging learning experience for medical students. In the context of educational practice, the primary purpose of this study is to build a digital simulator and virtual simulation experiment system based on big data and to explore the possibility of its application in the actual teaching process and the practical application results. In practice, a series of clinical teaching cases based on organ systems have been designed and applied to actual medical teaching through this technology. These teaching formats extend the depth and scope of medical teaching, enhance learning interest, and effectively achieve teaching objectives.