国家多中心人工智能近视防治项目

IF 4.4 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
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 , Haotian Lin
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引用次数: 2

摘要

近年来,中国儿童和青少年的近视发病率以惊人的速度增长。迫切需要探索一种有效的近视防治方法。近十年来,随着信息技术的发展,以物联网技术(AIoT)为代表的人工智能具有计算能力强、算法先进、持续监测、对长期进展进行准确预测等特点。因此,大数据和人工智能技术具有应用于近视病因数据挖掘和近视发生发展预测的潜力。最近,越来越多的人认识到,涉及AIoT的近视研究需要经过严格的评估才能证明可靠的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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 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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来源期刊
Intelligent medicine
Intelligent medicine Surgery, Radiology and Imaging, Artificial Intelligence, Biomedical Engineering
CiteScore
5.20
自引率
0.00%
发文量
19
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