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

被引：11

作者：

Yang, Yahan ^{[1
]}

Li, Ruiyang ^{[1
]}

Xiang, Yifan ^{[1
]}

Lin, Duoru ^{[1
]}

Yan, Anqi ^{[2
]}

Chen, Wenben ^{[1
]}

Li, Zhongwen ^{[1
]}

Lai, Weiyi ^{[1
]}

Wu, Xiaohang ^{[1
]}

Wan, Cheng ^{[3
]}

Bai, Wei ^{[4
]}

Huang, Xiucheng ^{[2
]}

Li, Qiang ^{[2
]}

Deng, Wenrui ^{[2
]}

Liu, Xiyang ^{[4
]}

Lin, Yucong ^{[5
]}

Yan, Pisong ^{[5
]}

Lin, Haotian ^{[1
,6
]}

机构：

[1] Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou 510623, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Zhongshan Sch Med, Guangzhou 510080, Guangdong, Peoples R China

[3] Nanjing Univ Aeronaut & Astronaut, Nanjing 210016, Jiangsu, Peoples R China

[4] Xidian Univ, Inst Software Engn, Sch Comp Sci & Technol, Xian 710071, Shaanxi, Peoples R China

[5] Cloud Intelligent Care Tech Ltd, Guangzhou 510115, Guangdong, Peoples R China

[6] Sun Yat Sen Univ, Ctr Precis Med, Guangzhou 510080, Guangdong, Peoples R China

来源：

INTELLIGENT MEDICINE | 2023年 / 3卷 / 02期

关键词：

Artificial intelligence; Big data; Intelligent medicine; Data collection; Data storage; Data annotation; Data management; SECURITY;

D O I：

10.1016/j.imed.2021.11.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：144 / 149

页数：6

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