โก Quick Summary
This study utilized artificial intelligence to examine the white eye distribution characteristics in hyperlipidemic patients, revealing significant differences in eye morphology compared to individuals with normal lipid levels. The findings suggest a strong correlation between eye features and hyperlipidemia, providing a new perspective for diagnostic practices in traditional Chinese medicine. ๐๏ธ
๐ Key Details
- ๐ Participants: 150 subjects (80 hyperlipidemic patients, 70 normal lipid level patients)
- ๐งฉ Technology: MyEyeD-10 white eye shadowless imaging health intelligence analysis system
- โ๏ธ Statistical Analysis: SPSS 26.0 for data processing
- ๐ Study Duration: February 2022 to February 2023
๐ Key Takeaways
- ๐๏ธ Eye morphology in hyperlipidemic patients showed higher scores for “spot” (11.07 ยฑ 3.22) and “foggy” features (8.37 ยฑ 2.25) compared to normal patients.
- ๐ Significant differences were observed in eye-contact region scores, particularly in the “A” (stomach), “B”, “O” (spleen), and “M” (liver) regions.
- ๐ Color analysis revealed that “dull red” and “yellow” features were significantly more pronounced in hyperlipidemic patients.
- ๐ Findings provide a reference for the objective identification of health conditions through eye examination.
- ๐ก This study highlights the potential of AI in enhancing diagnostic accuracy in traditional Chinese medicine.
๐ Background
Hyperlipidemia, characterized by elevated lipid levels in the blood, is a significant risk factor for cardiovascular diseases. Traditional diagnostic methods often rely on blood tests, but emerging technologies, such as artificial intelligence, are paving the way for innovative diagnostic approaches. This study aims to explore the relationship between eye morphology and hyperlipidemia, potentially offering a non-invasive diagnostic tool through visual examination.
๐๏ธ Study
Conducted at Guang’anmen Hospital of the China Academy of Traditional Chinese Medicine, this study involved a comprehensive examination of 150 subjects over a year. The researchers employed the MyEyeD-10 system to analyze the white eye distribution characteristics, focusing on various morphological features and color attributes associated with hyperlipidemia.
๐ Results
The results indicated that hyperlipidemic patients exhibited significantly higher scores in both “spot” and “foggy” features of the white eye morphology compared to the control group. Additionally, the eye-contact region scores for “A”, “B”, “O”, and “M” were notably elevated in the hyperlipidemic group, suggesting a strong correlation between these eye features and lipid levels. The study also found that the “dull red” and “yellow” colors in the white eye choroid were significantly more pronounced in hyperlipidemic patients, reinforcing the link between eye characteristics and health status.
๐ Impact and Implications
The implications of this study are profound, as it opens new avenues for non-invasive diagnostics in traditional Chinese medicine. By leveraging artificial intelligence to analyze eye morphology, healthcare professionals can potentially identify hyperlipidemia and other health conditions with greater accuracy. This approach not only enhances diagnostic precision but also encourages a more holistic view of patient health, integrating visual examination into routine assessments.
๐ฎ Conclusion
This study underscores the potential of AI technology in revolutionizing diagnostic practices within traditional Chinese medicine. The findings suggest that eye morphology and color can serve as valuable indicators of hyperlipidemia, paving the way for more objective and precise health assessments. As we continue to explore the intersection of technology and medicine, the future looks promising for innovative diagnostic tools that enhance patient care. ๐
๐ฌ Your comments
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Clinical observation of white eye distribution in patients with hyperlipidemia: an artificial intelligence digital visual examination technique.
Abstract
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 ยฑ 3.22) was higher than that in the NC group (7.50 ยฑ 4.11) (P <0.01). Moreover, the “foggy” feature score of the eye morphology in the HLP group (8.37 ยฑ 2.25) was higher than that in the NC group (P <0.01), higher than that of the NC group (5.72 ยฑ 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.
Author: [‘Tianli S’, ‘Haixia LI’, “Li’an L”]
Journal: J Tradit Chin Med
Citation: Tianli S, et al. Clinical observation of white eye distribution in patients with hyperlipidemia: an artificial intelligence digital visual examination technique. Clinical observation of white eye distribution in patients with hyperlipidemia: an artificial intelligence digital visual examination technique. 2025; 45:1135-1143. doi: 10.19852/j.cnki.jtcm.20241231.001