Expert recommendation on collection, storage, annotation, and management of data related to medical artificial intelligence

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Intelligent medicine Pub Date : 2023-05-01 DOI:10.1016/j.imed.2021.11.002

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

引用次数: 5

Abstract

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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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

近年来，医学人工智能（AI）和大数据技术迅速发展，目前已被常规用于基于图像的诊断。中国有大量的医学数据。然而，尚未建立统一的医疗数据质量标准。因此，本综述旨在为医疗人工智能相关的医疗数据收集、存储、注释和管理制定一套标准化、详细的质量标准。这将极大地改善医疗数据资源共享过程和人工智能在临床医学中的使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering

CiteScore

5.20

自引率

0.00%

发文量