Intelligent Medicine (May 2023)
Expert recommendation on collection, storage, annotation, and management of data related to medical artificial intelligence
- 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
Affiliations
- Yahan Yang
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Ruiyang Li
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Yifan Xiang
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Duoru Lin
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Anqi Yan
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Wenben Chen
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Zhongwen Li
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Weiyi Lai
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Xiaohang Wu
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China
- Cheng Wan
- Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China
- Wei Bai
- Institute of Software Engineering, School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
- Xiucheng Huang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Qiang Li
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Wenrui Deng
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
- Xiyang Liu
- Institute of Software Engineering, School of Computer Science and Technology, Xidian University, Xi'an, Shaanxi 710071, China
- Yucong Lin
- Cloud Intelligent Care Tech. Ltd., Guangzhou, Guangdong 510115, China
- Pisong Yan
- Cloud Intelligent Care Tech. Ltd., Guangzhou, Guangdong 510115, China
- Haotian Lin
- Zhongshan Ophthalmic Center, Sun Yat-sen University, State Key Laboratory of Ophthalmology, Guangzhou, Guangdong 510623, China; Centre for Precision Medicine, Sun Yat-sen University, Guangzhou, Guangdong 510080, China; Corresponding author: Haotian Lin, Zhongshan Ophthalmic Centre, Sun Yat-sen University, 7# Jinsui Road, Guangzhou, Guangdong 510623, China (Email: [email protected]).
- Journal volume & issue
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Vol. 3,
no. 2
pp. 144 – 149
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.
