{"title":"人工智能和物联网在医学放射学发展中的作用(磁共振成像实验研究)","authors":"Mohammad Khalaf Daoud, M. Otair","doi":"10.1109/ICHCI51889.2020.00011","DOIUrl":null,"url":null,"abstract":"This study presented a new technology in the medical radiology sector through artificial intelligence and the Internet of things, and the study provided applicable experiments on the magnetic resonance imaging device that lead to real, error-free diagnostic results based on the introduction of artificial intelligence techniques Reading and analyzing the images with the standard anatomy stored in them and providing a report Detailed information about the patient's condition.","PeriodicalId":355427,"journal":{"name":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Role of Artificial Intelligence and the Internet of Things in the Development of Medical Radiology (An Experimental Study on Magnetic Resonance Imaging)\",\"authors\":\"Mohammad Khalaf Daoud, M. Otair\",\"doi\":\"10.1109/ICHCI51889.2020.00011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study presented a new technology in the medical radiology sector through artificial intelligence and the Internet of things, and the study provided applicable experiments on the magnetic resonance imaging device that lead to real, error-free diagnostic results based on the introduction of artificial intelligence techniques Reading and analyzing the images with the standard anatomy stored in them and providing a report Detailed information about the patient's condition.\",\"PeriodicalId\":355427,\"journal\":{\"name\":\"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICHCI51889.2020.00011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHCI51889.2020.00011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Role of Artificial Intelligence and the Internet of Things in the Development of Medical Radiology (An Experimental Study on Magnetic Resonance Imaging)
This study presented a new technology in the medical radiology sector through artificial intelligence and the Internet of things, and the study provided applicable experiments on the magnetic resonance imaging device that lead to real, error-free diagnostic results based on the introduction of artificial intelligence techniques Reading and analyzing the images with the standard anatomy stored in them and providing a report Detailed information about the patient's condition.