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RETINAL PHOTOGRAPHY PROTOCOL - BioLINCC
- https://biolincc.nhlbi.nih.gov/media/studies/chs/rec74.pdf#:~:text=Fundus%20photographs%20will%20be%20used%20to%20evaluate%20abnormalities,in%20arterio-%20venous%20%28A%2FV%29%20crossings%20will%20be%20evaluated.
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Retinal photography: A window into the cardiovascular …
- https://pubmed.ncbi.nlm.nih.gov/28477501/
- Retinal photography may offer unique insights regarding the cardiovascular and neurocognitive burden of BD. Larger longitudinal studies are warranted. Retinal photography: A window into the cardiovascular-brain link in adolescent bipolar disorder
Prediction of cardiovascular risk factors from retinal …
- https://pubmed.ncbi.nlm.nih.gov/31015713/
- Here, we show that deep learning can extract new knowledge from retinal fundus images. Using deep-learning models trained on data from 284,335 patients and validated on two independent datasets of 12,026 and 999 patients, we predicted cardiovascular risk factors not previously thought to be present or quantifiable in retinal images, such as age (mean absolute error …
Prediction of cardiovascular risk factors from retinal …
- https://www.nature.com/articles/s41551-018-0195-0
- Because retinal images alone were sufficient to predict several cardiovascular risk factors to varying degrees, we reasoned that the images …
Retinal biomarkers and cardiovascular disease: A
- https://www.sciencedirect.com/science/article/pii/B9780081028162000162
- Abstract. Cardiovascular disease (CVD), comprising coronary heart disease and stroke, remains a major cause of morbidity and mortality globally. The retinal vasculature is a unique biological model to study microvascular pathology associated with CVD. Retinal vascular imaging technologies have been developed to allow objective and precise assessment of …
Deep Learning of Retinal Photographs and …
- https://clinicaltrials.gov/ct2/show/NCT04749927
- The research team has developed a deep learning algorithm that predicts anthropometric factors from fundus photographs and an algorithm that predicts cardiovascular disease risk. Fundus photographs are taken for various cardiovascular diseases (myocardial infarction, heart failure, hypertension with target organ damage, high-risk dyslipidemia, diabetic …
The use of retinal photography in non-ophthalmic …
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3521530/
- Retinal microvascular abnormalities and cardiovascular disease . An area in which retinal photography has proved useful in internal medicine has …
Retinal Deposits Linked to Cardiovascular Disease
- https://www.reviewofophthalmology.com/article/retinal-deposits-linked-to-cardiovascular-disease
- Retinal Deposits Linked to Cardiovascular Disease. Researchers in New York City believe they may have found the link tying together age-related macular degeneration—today’s leading cause of blindness—and cardiovascular disease—today’s leading cause of death. The MDs behind this development explain that the link has been elusive because both AMD and …
6 Diseases Digital Retinal Imaging Can Help Detect Sooner
- https://www.coburntechnologies.com/2021/06/24/retinal-imaging-diseases/
- Retinal imaging can reveal damage to the optic nerve caused by excess pressure or increased pressure on blood vessels in this area. Early detection of glaucoma is crucial, as it can often lead to permanent vision loss for the patient. The Huvitz HFC-1 Non-Mydriatic Fundus Camera includes red-free imaging, which gives a clear comparison of nerve ...
Heart Disease Prediction Using Retinal Fundus Image
- https://link.springer.com/chapter/10.1007/978-3-030-24051-6_71
- In this study, the cardiovascular disease is predicted by non-invasive method with the retinal image data. In this system, the retinal fundus image data are used to predict the heart disease occurrence. Cardiovascular disease can be detected from the changes in microvasculature, which is imaged from retina.
The Relationship between Retinal Microvascular …
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922900/
- Coronary artery calcification measured by computed tomography has been shown to represent subclinical coronary artery disease and predict future coronary events. 61 In an effort to determine whether retinal vascular changes are associated with subclinical coronary disease, Wong et al. 62 examined 6,147 adults aged 45-84 years from the MESA cohort. They found a …
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