Once you've predicted this problem what is your solution to prevent the problem from happening? What research are you initiating for this?
Circulatory Mortality, Stroke, MI Predicted With AI-Enabled Retinal Vasculometry
The use of artificial intelligence (AI)-enabled retinal vasculometry offers a noninvasive biomarker for the prediction of circulatory mortality, myocardial infarction (MI), and stroke, according to the results of a study published in the British Journal of Ophthalmology.
Researchers sought to examine whether the inclusion of AI-enabled retinal vasculometry improves existing risk algorithms for MI, incident stroke, and circulatory mortality.
AI-enabled retinal vessel image analysis processed images from a total of 88,052 participants from the UK Biobank (UKB), who were 40 to 69 years of age at image capture. Additionally, a total of 7411 participants from European Prospective Investigation into Cancer (EPIC)-Norfolk, who were aged 48 to 92 years at image capture, were included. Data on retinal arteriolar and venular width, area, and vessel tortuosity were obtained.
The researchers developed a fully automated AI-enabled system named QUARTZ (Quantitative Analysis of Retinal Vessels Topology and Size) for examining the retinal tree, which permits detailed vasculometry quantification in large population studies. The primary outcome was circulatory mortality, defined using ICD-10 codes.
The study included a total of 64,144 UKB participants who experienced 327 circulatory deaths and 5862 EPIC-Norfolk participants who experienced 201 circulatory deaths. The mean participant age in the UKB group was 56.8 years and the median follow-up was 7.7 years. In the EPIC-Norfolk group, the mean age was 67.6 years and the median follow-up was 9.1 years.
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