The national multi-center artificial intelligent myopia prevention and control project
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 w...
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| 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. |
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| AbstractList | 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. |
| Abstract_FL | 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. |
| Author | Wei, Wenbin Wang, Dongni Ma, Jin Qin, Yanli Lin, Haotian Jiang, Qin Yang, Xiao Yan, Pisong Gu, Yu Chen, Jingjing Tan, Xingping Yang, Weihua Cui, Dongmei Wu, Yuxuan Zhang, Hong Ma, Xiaodan Chen, Qi Li, Lili Cao, Hankun Ding, Lin Dong, Li Liu, Wenyan Yu, Shuiming Yang, Yahan Zhou, Yunfan Huang, Yuanzhou Li, Chaoyu Lin, Zhenzhe Wang, Xun Li, Yang Lian, Mingyue |
| AuthorAffiliation | State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China%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%Hunan Key Laboratory of Ophthalmology, Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan 410008, China%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%The Affiliated Eye Hospital of Nanjing medical university, Nanjing, Jiangsu 210029, China%Dongguan Changping Jianming Ophthalmic Hospital, Dongguan, Guangdong 523000, China%Dongguan Guangming Ophthalmic Hospital, Dongguan, Guang |
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| Author_FL | Yunfan Zhou Jin Ma Haotian Lin Wenbin Wei Xiaodan Ma Xingping Tan Lili Li Lin Ding Mingyue Lian Wenyan Liu Hankun Cao Xiao Yang Dongni Wang Weihua Yang Pisong Yan Chaoyu Li Yuxuan Wu Yuanzhou Huang Yu Gu Jingjing Chen Li Dong Shuiming Yu Yang Li Xun Wang Dongmei Cui Yanli Qin Yahan Yang Hong Zhang Zhenzhe Lin Qin Jiang Qi Chen |
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Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region 830001, China – sequence: 18 givenname: Qi surname: Chen fullname: Chen, Qi organization: The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region 530021, China – sequence: 19 givenname: Lili surname: Li fullname: Li, Lili organization: The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region 530021, China – sequence: 20 givenname: Mingyue surname: Lian fullname: Lian, Mingyue organization: Sinqi Eye Hospital, Shenyang, Liaoning 110002, China – sequence: 21 givenname: Jin surname: Ma fullname: Ma, Jin organization: Rescue Eyes Service Center, Shenzhen, Guangdong 518101, China – sequence: 22 givenname: Dongmei surname: Cui fullname: Cui, Dongmei organization: State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China – sequence: 23 givenname: Yuanzhou surname: 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| Publisher | Elsevier B.V State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong 510060, China%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%Hunan Key Laboratory of Ophthalmology, Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan 410008, China%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%The Affiliated Eye Hospital of Nanjing medical university, Nanjing, Jiangsu 210029, China%Dongguan Changping Jianming Ophthalmic Hospital, Dongguan, Guangdong 523000, China%Dongguan Guangming Ophthalmic Hospital, Dongguan, Guangdong 523000, China%The People’s Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang Uygur Autonomous Region 830001, China%The People’s Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi Zhuang Autonomous Region 530021, China%Sinqi Eye Hospital, Shenyang, Liaoning 110002, China%Rescue Eyes Service Center, Shenzhen, Guangdong 518101, China%Cloud Intelligent Care Technology (Guangzhou) Co. Ltd., Guangzhou, Guangdong 510000, China Elsevier |
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