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The national multi-center artificial intelligent myopia prevention and control project 被引量:1
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作者 Xun Wang Yahan Yang +29 位作者 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 《Intelligent Medicine》 2021年第2期51-55,共5页
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 dev... 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. 展开更多
关键词 Myopia prevention and control Artificial intelligent National multicenter project
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