Intelligent Medicine (Aug 2021)
The national multi-center artificial intelligent myopia prevention and control project
- Xun Wang,
- Yahan Yang,
- Yuxuan Wu,
- Wenbin Wei,
- Li Dong,
- Yang Li,
- Xingping Tan,
- Hankun Cao,
- Hong Zhang,
- Xiaodan Ma,
- Qin Jiang,
- Yunfan Zhou,
- Weihua Yang,
- Chaoyu Li,
- Yu Gu,
- Lin Ding,
- Yanli Qin,
- Qi Chen,
- Lili Li,
- Mingyue Lian,
- Jin Ma,
- Dongmei Cui,
- Yuanzhou Huang,
- Wenyan Liu,
- Xiao Yang,
- Shuiming Yu,
- Jingjing Chen,
- Dongni Wang,
- Zhenzhe Lin,
- Pisong Yan,
- Haotian Lin
Affiliations
- Xun Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Yahan Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Yuxuan Wu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Wenbin Wei
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China
- Li Dong
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China
- Yang Li
- Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology & Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Tongren Hospital, Capital Medical University, Beijing 100005, China
- Xingping Tan
- Hunan Key Laboratory of Ophthalmology, Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hankun Cao
- Hunan Key Laboratory of Ophthalmology, Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan 410008, China
- Hong Zhang
- Ophthalmic Hospital of Disabled Persons Federation in Ba Yan Nao Er of Inner Mongolia Autonomous Region, Ba Yan Nao Er, Inner Mongolia Autonomous Region 015000, China
- Xiaodan Ma
- Ophthalmic Hospital of Disabled Persons Federation in Ba Yan Nao Er of Inner Mongolia Autonomous Region, Ba Yan Nao Er, Inner Mongolia Autonomous Region 015000, China
- Qin Jiang
- The Affiliated Eye Hospital of Nanjing medical university, Nanjing, Jiangsu 210029, China
- Yunfan Zhou
- The Affiliated Eye Hospital of Nanjing medical university, Nanjing, Jiangsu 210029, China
- Weihua Yang
- The Affiliated Eye Hospital of Nanjing medical university, Nanjing, Jiangsu 210029, China
- Chaoyu Li
- Dongguan Changping Jianming Ophthalmic Hospital, Dongguan, Guangdong 523000, China
- Yu Gu
- Dongguan Guangming Ophthalmic Hospital, Dongguan, Guangdong 523000, China
- Lin Ding
- The People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region 830001, China
- Yanli Qin
- The People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region 830001, China
- Qi Chen
- The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region 530021, China
- Lili Li
- The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region 530021, China
- Mingyue Lian
- Sinqi Eye Hospital, Shenyang, Liaoning 110002, China
- Jin Ma
- Rescue Eyes Service Center, Shenzhen, Guangdong 518101, China
- Dongmei Cui
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Yuanzhou Huang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Wenyan Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Xiao Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Shuiming Yu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Jingjing Chen
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Dongni Wang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Zhenzhe Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China
- Pisong Yan
- Cloud Intelligent Care Technology (Guangzhou) Co. Ltd., Guangzhou, Guangdong 510000, China
- Haotian Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China; Corresponding author: Haotian Lin, State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China (Email: [email protected]).
- Journal volume & issue
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Vol. 1,
no. 2
pp. 51 – 55
Abstract
In recent years, the incidence of myopia has increased at an alarming rate among children and adolescents in China. The exploration of an effective prevention and control method for myopia is in urgent need. With the development of information technology in the past decade, artificial intelligence with the Internet of Things technology (AIoT) is characterized by strong computing power, advanced algorithm, continuous monitoring, and accurate prediction of long-term progression. Therefore, big data and artificial intelligence technology have the potential to be applied to data mining of myopia etiology and prediction of myopia occurrence and development. More recently, there has been a growing recognition that myopia study involving AIoT needs to undergo a rigorous evaluation to demonstrate robust results.
