Nan Zhou, Xin Li, Dexiu Wang, Chengwen Jin, Weihao Wang, Xiaodong Cui
{"title":"人体生理学与人工智能在基础医学教育中的应用实验教学体系","authors":"Nan Zhou, Xin Li, Dexiu Wang, Chengwen Jin, Weihao Wang, Xiaodong Cui","doi":"10.1109/ECBIOS57802.2023.10218415","DOIUrl":null,"url":null,"abstract":"Presently, animal experimentation is a main teaching tool in basic medical education. Animal experiments can improve medical students' knowledge and its application with practical operation ability. However, based on the premise of the 3R principle, more scholars believe that animal experiments do not meet the needs of medical education and so need to be improved. With the current emergence of big data applications in artificial intelligence (AI) and computer science and technology, human physiological experiments are gradually replacing animal experiments. Although human experiments have drawbacks such as limiting their application in basic medical education. However, the data derived from computer and intelligent tool technology, are more intuitive and widely used than animal experiments. Combined with the application of AI, human computer experiments are gradually replacing animal experiments in medical practice and teaching. We discussed the principles and applications of human physiology in medical education combined with the experience in basic medical teaching. The discussion provided a reference value for medical basic education, especially the new teaching model of basic medical science using artificial intelligence computer simulation.","PeriodicalId":334600,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Experimental Teaching System of Human Physiology and Artificial Intelligence Application in Basic Medical Education\",\"authors\":\"Nan Zhou, Xin Li, Dexiu Wang, Chengwen Jin, Weihao Wang, Xiaodong Cui\",\"doi\":\"10.1109/ECBIOS57802.2023.10218415\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Presently, animal experimentation is a main teaching tool in basic medical education. Animal experiments can improve medical students' knowledge and its application with practical operation ability. However, based on the premise of the 3R principle, more scholars believe that animal experiments do not meet the needs of medical education and so need to be improved. With the current emergence of big data applications in artificial intelligence (AI) and computer science and technology, human physiological experiments are gradually replacing animal experiments. Although human experiments have drawbacks such as limiting their application in basic medical education. However, the data derived from computer and intelligent tool technology, are more intuitive and widely used than animal experiments. Combined with the application of AI, human computer experiments are gradually replacing animal experiments in medical practice and teaching. We discussed the principles and applications of human physiology in medical education combined with the experience in basic medical teaching. The discussion provided a reference value for medical basic education, especially the new teaching model of basic medical science using artificial intelligence computer simulation.\",\"PeriodicalId\":334600,\"journal\":{\"name\":\"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)\",\"volume\":\"66 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECBIOS57802.2023.10218415\",\"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 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBIOS57802.2023.10218415","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Experimental Teaching System of Human Physiology and Artificial Intelligence Application in Basic Medical Education
Presently, animal experimentation is a main teaching tool in basic medical education. Animal experiments can improve medical students' knowledge and its application with practical operation ability. However, based on the premise of the 3R principle, more scholars believe that animal experiments do not meet the needs of medical education and so need to be improved. With the current emergence of big data applications in artificial intelligence (AI) and computer science and technology, human physiological experiments are gradually replacing animal experiments. Although human experiments have drawbacks such as limiting their application in basic medical education. However, the data derived from computer and intelligent tool technology, are more intuitive and widely used than animal experiments. Combined with the application of AI, human computer experiments are gradually replacing animal experiments in medical practice and teaching. We discussed the principles and applications of human physiology in medical education combined with the experience in basic medical teaching. The discussion provided a reference value for medical basic education, especially the new teaching model of basic medical science using artificial intelligence computer simulation.