Detection of systemic cardiovascular illnesses and cardiometabolic risk factors with machine learning and optical coherence tomography angiography: a pilot study-Reference-Cited by-同舟云学术

Detection of systemic cardiovascular illnesses and cardiometabolic risk factors with machine learning and optical coherence tomography angiography: a pilot study

Published:2023-05-23 Issue:17 Volume:37 Page:3629-3633
ISSN:0950-222X
Container-title:Eye
language:en
Short-container-title:Eye

Author:

Huang Sonia^ORCID,Bacchi Stephen,Chan WengOnn,Macri Carmelo^ORCID,Selva Dinesh,Wong Christopher X.,Sun Michelle T.

Publisher

Springer Science and Business Media LLC

Subject

Ophthalmology

Link

https://www.nature.com/articles/s41433-023-02570-4.pdf

Reference21 articles.

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2. Chua J, Chin CWL, Hong J, Chee ML, Le TT, Ting DSW, et al. Impact of hypertension on retinal capillary microvasculature using optical coherence tomographic angiography. J Hypertens. 2019;37:572–80.

3. Lim HB, Lee MW, Park JH, Kim K, Jo YJ, Kim JY. Changes in ganglion cell-inner plexiform layer thickness and retinal microvasculature in hypertension: an optical coherence tomography angiography study. Am J Ophthalmol. 2019;199:167–76.

4. Yeung L, Wu IW, Sun CC, Liu CF, Chen SY, Tseng CH, et al. Early retinal microvascular abnormalities in patients with chronic kidney disease. Microcirculation. 2019;26:e12555.

5. Cao D, Yang D, Huang Z, Zeng Y, Wang J, Hu Y, et al. Optical coherence tomography angiography discerns preclinical diabetic retinopathy in eyes of patients with type 2 diabetes without clinical diabetic retinopathy. Acta Diabetol. 2018;55:469–77.

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