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The Research on the Paths of Popular Science Education about myopia prevention and control among College Students in the Context of Shifting the Focus Forward

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Open Journal of Applied Sciences 2024年第2期14卷 371-378页

作者： Shengpo Zeng Yang’ai Gu School of Ophthalmology & Optometry School of Biomedical Engineering Wenzhou Medical University Wenzhou China

Currently, the number of myopic people in China has reached as high as 600 million, and it shows a trend of “early onset, high incidence, and a high degree of severity”. The issue of myopia among children and adolescents has attracted widespread attention from all sectors of society. Comprehensive myopia prevention and control efforts have been launched nationwide. Popular science education, vision screening, and improving visual environments are effective measures for preventing myopia. However, among the target audience for comprehensive myopia prevention and control, the preschool children group has been neglected, and the work of myopia prevention and control for this group has been significantly weakened and marginalized. Due to insufficient awareness of prevention and control, the hyperopia reserve in the preschool children group is being continuously depleted, leading to the early onset of myopia. In light of this situation, the focus of myopia prevention and control needs to shift forward, and it is worth exploring and pondering how college students with a background in optometry can develop entertaining and engaging popular science education materials and methods.

关键词： myopia prevention and control Popular Science Education Hyperopia Reserve Eye Health Preschool Children Group

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The national multi-center artificial intelligent myopia prevention and control project

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Intelligent Medicine 2021年第2期1卷 51-55页

作者： 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 Chinese Association of Artificial Intelligence,Medical Artificial Intelligence Branch of Guangdong Medical Association State Key Laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangzhouGuangdong 510060China Beijing Tongren Eye Center Beijing Key Laboratory of Intraocular Tumor Diagnosis and TreatmentBeijing Ophthalmology&Visual Sciences Key LabMedical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information TechnologyBeijing Tongren HospitalCapital Medical UniversityBeijing 100005China Hunan Key Laboratory of Ophthalmology Eye Center of Xiangya HospitalCentral South UniversityChangshaHunan 410008China Ophthalmic Hospital of Disabled Persons Federation in Ba Yan Nao Er of Inner Mongolia Autonomous Region Ba Yan Nao ErInner Mongolia Autonomous Region 015000China The Affiliated Eye Hospital of Nanjing medical university NanjingJiangsu 210029China Dongguan Changping Jianming Ophthalmic Hospital DongguanGuangdong 523000China Dongguan Guangming Ophthalmic Hospital DongguanGuangdong 523000China The People’s Hospital of Xinjiang Uygur Autonomous Region UrumqiXinjiang Uygur Autonomous Region 830001China The People’s Hospital of Guangxi Zhuang Autonomous Region NanningGuangxi Zhuang Autonomous Region 530021China Sinqi Eye Hospital ShenyangLiaoning 110002China Rescue Eyes Service Center ShenzhenGuangdong 518101China Cloud Intelligent Care Technology(Guangzhou)Co.Ltd. GuangzhouGuangdong 510000China 不详

In recent years,the incidence of myopia has increased at an alarming rate among children and adolescents in *** exploration of an effective prevention and control method for myopia is in urgent *** 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 ***,big data and artificial intelligence technology have the potential to be applied to data mining of myopia etiology and prediction of myopia occurrence and *** recently,there has been a growing recognition that myopia study involving AIoT needs to undergo a rigorous evaluation to demonstrate robust results.

关键词： myopia prevention and control Artificial intelligent National multicenter project

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Design,methodology,and baseline of whole city‑million scale children and adolescents myopia survey(CAMS)in Wenzhou,China

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Eye and Vision 2021年第1期8卷 303-316页

作者： Liangde Xu Youyuan Zhuang Guosi Zhang Yunlong Ma Jian Yuan Changseng Tu MiaoMiao Li Wencan Wang Yaru Zhang Xiaoyan Lu Jing Li Xinting Liu Zhengbo Xue Meng Zhou Jie Sun Jinhua Bao Ming Li Fan Lu Hong Wang Jianzhong Su Jia Qu School of Ophthalmology and Optometry and Eye Hospital Wenzhou Medical UniversityWenzhou 325027China State Key Laboratory of Ophthalmology Optometry and Visual ScienceWenzhou 325027China Institute of Biomedical Big Data Wenzhou Medical UniversityWenzhou 325027China National Clinical Research Center for Ocular Disease Wenzhou 325027China College of Bioinformatics Science and Technology Harbin Medical UniversityHarbin 150081People’s Republic of China

Background:myopia is the most common visual impairment in children and adolescents *** study described an economical and effective population-based screening pipeline and performed the project of a million scale children and adolescents myopia survey(CAMS),which will shed light on the further study of myopia from the level of epidemiology and precision ***:We developed a novel population-based screening pattern,an intelligent screening process and internetbased information transmission and analysis system to carry out the survey consisting of school children in Wenzhou,*** examination items include unaided distance visual acuity,presenting distance visual acuity,and noncycloplegic *** and high myopia were defined as spherical equivalent(SE)≤−1.00 diopters(D)and SE≤−6.00 D,***,the reports of the vision checking were automatically sent to parents and the related *** CAMS project will be done two to four times annually with the support of the *** online eyesight status information management system(OESIMS)was developed to construct comprehensive and efficient electronic vision health records(EVHRs)for myopia information inquiry,risk pre-warning,and further ***:The CAMS completed the first-round of screening within 30 days for 99.41%of Wenzhou students from districts and counties,in June 2019.A total of 1,060,925 participants were eligible for CAMS and 1,054,251(99.37%participation rate)were selected through data quality control,which comprised 1305 schools,and 580,609,251,050 and 170,967 elementary,middle,and high school *** mean age of participants was 12.21±3.32 years(6-20 years),the female-to-male ratio was *** prevalence of myopia in elementary,middle,and high school students was 38.16%,77.52%,and 84.00%,respectively,and the high myopia incidence was 0.95%,6.90%,and 12.98%.Conclusions:The CAMS standardized myopia screening model involves automating large-scal

关键词： Baseline Vision screening myopia prevention and control Population-based

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