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性别和年龄对使用人工智能的老年人梅博姆腺的影响

Binge Huang¹, Fangrong Fei², Han Wen¹

¹School of Ophthalmology and Optometry, Eye Hospital, Wenzhou Medical University, Wenzhou, China.

Frontiers in cell and developmental biology

|July 3, 2023

概括

人工智能 (AI) 可靠地评估梅博米腺 (MG) 随着年龄的变化. 老年男性表现出更严重的MG异常,吸烟和饮酒是显著的危险因素.

科学领域:

眼科医生眼科眼科
医疗成像医学成像
人工智能的人工智能

背景情况:

梅博米腺功能障碍 (MGD) 在老年人群中很常见.
评估梅博米腺 (MG) 参数传统上是耗时的.
基于深度学习的人工智能 (AI) 为高效的MG评估提供了潜力.

研究的目的:

使用人工智能评估年龄和性别对梅博米腺 (MG) 参数的影响.
探索60岁及以上个体MG参数之间的关联.
以验证人工智能驱动的MG评估与传统方法相比.

主要方法:

119名年龄≥60岁的受试者接受了眼睛表面检查.
梅博图像由人工智能系统捕获并分析MG形态.
进行了眼睛表面疾病指数 (OSDI) 和眼边缘评估.

主要成果:

梅博米腺损失 (MGL) 和眼边缘异常随着年龄的增长而增加.
在70岁以下的人群中,MG参数的性别差异显著.
人工智能评估的MG参数与手动评估有很强的相关性;OSDI与MGL和MG区域相关.

结论:

人工智能是评估MG形态和功能的可靠和高效工具.
随着年龄的增长,MG异常变得更糟,特别是在男性中.
吸烟和饮酒被确定为MG异常的危险因素.

关键词:

老化的老化衰老的老化人工智能的人工智能是人工智能.梅博的图形是如何的梅博姆腺的功能障碍梅博姆腺体是什么意思

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