高脂血症患者白眼分布的人工智能数字视觉检查技术临床观察。

Song Tianli, L I Haixia, Liu Li'an
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引用次数: 0

摘要

目的:探讨基于人工智能数字眼诊断技术的高脂血症患者白眼分布特征的临床观察。方法:于2022年2月1日至2023年2月1日在中国中医研究院广安门医院门诊部和住院部对150例受试者进行检查,其中高脂血症患者(HLP)组80例,正常血脂患者(NC)组70例。两组采用人工智能视觉诊断仪采集提取,MyEyeD-10白眼无影成像健康智能分析系统进行分析。最后,使用SPSS 26.0 (Version X; IBM Corp., Armonk, NY, USA)进行统计处理。结果:两组在“斑”和“雾”特征得分上有显著差异。各组间,HLP组白眼形态“斑点”特征评分(11.07±3.22)高于NC组(7.50±4.11)(P < 0.01)。HLP组眼形态“雾蒙蒙”特征评分(8.37±2.25)高于NC组(P < 0.01),高于NC组(5.72±1.21)(P < 0.05)。两组患者“A”(胃)、“B”(脾)、“O”(脾)、“M”(肝)眼接触区评分差异有统计学意义,“B”、“O”(脾)、“M”(肝)眼接触区评分差异有统计学意义。HLP组白眼通道区得分显著高于对照组,其中“A”、“B”、“O”区得分显著高于对照组(P 0.01),“M”区得分显著高于对照组(P 0.01),“A”、“B”、“O”、“M”区得分显著高于对照组(P 0.01)。“M”区(p0.05)。“暗红”和“黄”特征得分差异有统计学意义,且HLP组白眼脉络膜“暗红”和“黄”色得分显著高于HLP组。HLP组“暗红”、“黄”评分显著高于NC组(P < 0.01)。结论:白眼眼象的形态特征、白眼脉轮的颜色、球结膜的血管分带与高脂血症密切相关。重要的是,这为通过眼睛来鉴别中药的客观性和准确性提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical observation of white eye distribution in patients with hyperlipidemia: an artificial intelligence digital visual examination technique.

Objective: To explore the clinical observation of white eye distribution characteristics of hyperlipidemic patients based on artificial intelligence digital eye diagnosis technology.

Methods: One hundred and fifty subjects were examined in the outpatient and inpatient departments of Guang'anmen Hospital of the China Academy of Traditional Chinese Medicine from 01 February 2022 to 01 February 2023, including 80 cases in the hyperlipidemic patient (HLP) group and 70 cases in the normal lipid level patient (NC) group. The two groups were collected and extracted by the artificial intelligence visual diagnostic instrument and analyzed by the MyEyeD-10 white eye shadowless imaging health intelligence analysis system. Finally, SPSS 26.0 (Version X; IBM Corp., Armonk, NY, USA) was used for statistical processing.

Results: Significant differences were noted in the scores of "spot" and "foggy" features between the two groups. Between groups, the "spot" feature score of the white eye morphology in the HLP group (11.07 ± 3.22) was higher than that in the NC group (7.50 ± 4.11) (P <0.01). Moreover, the "foggy" feature score of the eye morphology in the HLP group (8.37 ± 2.25) was higher than that in the NC group (P <0.01), higher than that of the NC group (5.72 ± 1.21) (P <0.05). There were significant differences in the "A" (stomach), "B", "O" (spleen), and "M" (liver) eye-contact region scores between the two groups, and the "B", "O" (spleen) and "M" (liver) eye-contact region scores were significantly different. The scores of the white eye channel region in the HLP group were significantly higher than those in the control group, with the "A", "B", and "O" regions (P <0.01), "M" region (P <0.01), "A", "B", "O", and "M" region (P <0.01). "M" zone (P <0.05). The scores of "dull red" and "yellow" features were significantly different, and the scores of "dull red" and "yellow" colors of the white eye choroid in the HLP group were significantly higher than those in the HLP group. The scores of "dull red" and "yellow" were significantly higher in the HLP group than in the NC group (P <0.01).

Conclusion: The morphological features of the white eye ocular image, the white eye chakra's color, and the bulbar conjunctiva's vascular zoning are closely related to hyperlipidemia. Importantly, these provide a reference for the objectivity and precision of the identification of Chinese medicine by looking at the eyes.

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