Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate From Digital Retinal Images Clinical Trial
Official title:
A Non-Interventional Pilot Study to Evaluate A Machine-Learning Algorithm for Prediction of Blood Pressure, Glycated Haemoglobin and Estimated Glomerular Filtration Rate From Digital Retinal Images
This is a non-interventional pilot study with the following objectives: - Establish scalable methodology for collection of retinal images, blood pressure (BP) and laboratory-based assessments - Compare the results of a machine-learning algorithm in predicting BP, glycated haemoglobin (HbA1c) and estimated glomerular filtration rate (eGFR) from digital retinal images with clinical and laboratory-based measures - Determine the required sample size needed to support a future study to fully validate the machine-learning algorithm
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