Yahan Yang , Ruiyang Li , Yifan Xiang , Duoru Lin , Anqi Yan , Wenben Chen , Zhongwen Li , Weiyi Lai , Xiaohang Wu , Cheng Wan , Wei Bai , Xiucheng Huang , Qiang Li , Wenrui Deng , Xiyang Liu , Yucong Lin , Pisong Yan , Haotian Lin , Chinese Association of Artificial Intelligence, Medical Artificial Intelligence Branch of Guangdong Medical Association
{"title":"关于医疗人工智能相关数据的收集、存储、注释和管理的专家建议","authors":"Yahan Yang , Ruiyang Li , Yifan Xiang , Duoru Lin , Anqi Yan , Wenben Chen , Zhongwen Li , Weiyi Lai , Xiaohang Wu , Cheng Wan , Wei Bai , Xiucheng Huang , Qiang Li , Wenrui Deng , Xiyang Liu , Yucong Lin , Pisong Yan , Haotian Lin , Chinese Association of Artificial Intelligence, Medical Artificial Intelligence Branch of Guangdong Medical Association","doi":"10.1016/j.imed.2021.11.002","DOIUrl":null,"url":null,"abstract":"<div><p>Medical artificial intelligence (AI) and big data technology have rapidly advanced in recent years, and they are now routinely used for image-based diagnosis. China has a massive amount of medical data. However, a uniform criteria for medical data quality have yet to be established. Therefore, this review aimed to develop a standardized and detailed set of quality criteria for medical data collection, storage, annotation, and management related to medical AI. This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.</p></div>","PeriodicalId":73400,"journal":{"name":"Intelligent medicine","volume":"3 2","pages":"Pages 144-149"},"PeriodicalIF":4.4000,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Expert recommendation on collection, storage, annotation, and management of data related to medical artificial intelligence\",\"authors\":\"Yahan Yang , Ruiyang Li , Yifan Xiang , Duoru Lin , Anqi Yan , Wenben Chen , Zhongwen Li , Weiyi Lai , Xiaohang Wu , Cheng Wan , Wei Bai , Xiucheng Huang , Qiang Li , Wenrui Deng , Xiyang Liu , Yucong Lin , Pisong Yan , Haotian Lin , Chinese Association of Artificial Intelligence, Medical Artificial Intelligence Branch of Guangdong Medical Association\",\"doi\":\"10.1016/j.imed.2021.11.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Medical artificial intelligence (AI) and big data technology have rapidly advanced in recent years, and they are now routinely used for image-based diagnosis. China has a massive amount of medical data. However, a uniform criteria for medical data quality have yet to be established. Therefore, this review aimed to develop a standardized and detailed set of quality criteria for medical data collection, storage, annotation, and management related to medical AI. This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.</p></div>\",\"PeriodicalId\":73400,\"journal\":{\"name\":\"Intelligent medicine\",\"volume\":\"3 2\",\"pages\":\"Pages 144-149\"},\"PeriodicalIF\":4.4000,\"publicationDate\":\"2023-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Intelligent medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2667102621001200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Intelligent medicine","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667102621001200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Expert recommendation on collection, storage, annotation, and management of data related to medical artificial intelligence
Medical artificial intelligence (AI) and big data technology have rapidly advanced in recent years, and they are now routinely used for image-based diagnosis. China has a massive amount of medical data. However, a uniform criteria for medical data quality have yet to be established. Therefore, this review aimed to develop a standardized and detailed set of quality criteria for medical data collection, storage, annotation, and management related to medical AI. This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.
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