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

作者：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 · 发表于：Intelligent Medicine · 年份：2021 · DOI：10.1016/j.imed.2021.11.002 · 被引用次数：13 · 研究领域：Artificial Intelligence in Healthcare and Education、Radiomics and Machine Learning in Medical Imaging、AI in cancer detection

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 will greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.