A retinal-based AI diagnostic solution that accurately predicts the future risk of chronic kidney disease (CKD).

Measure your chronic kidney disease risk score better than a urinalysis or blood test


The first retinal photo-based AI analytics to assess your kidney disease risk

Reti-Intelligence expands solutions to detect kidney disease. You can predict your personalized chronic kidney disease (CKD) risk without a blood sampling or urine test

Effective early CKD risk stratification and triage tool

Our deep-learning algorithm can help doctors identify high risk patients before any change can be seen in their kidney function

Superior prognostic performance to a blood test and urinalysis

Reti-CKD can autonomously predict your future CKD risk while exceeding the current standard screening performance



Measure chronic kidney disease (CKD) risk score, identifying a high-risk patient more accurately than a urinalysis or blood test


Know your kidney disease risk in the early stage and preserve your kidney health


Monitor kidney function in your clinic with a simple retina scan, not waiting for a laboratory test

Reti CKD vs. current measurement


  • Retinal images provide information about blood vessels. Reti-CKD analyzes blood vessels in retinal photos and provides the future risk of chronic kidney disease
  • Successfully stratifies future chronic kidney disease risk among people with normal kidney function in both general population and diabetes patients
  • Shows better accuracy than blood tests (eGFR) and urine tests (ACR), especially among asymptomatic people

Blood Test

  • GFR (glomerular filtration rate) shows how well the kidney filters wastes. Due to its complexity in measurement, GFR is estimated(eGFR) from creatinine levels in blood test
  • Relatively low accuracy in estimating of GFR, especially in the early stages of kidney disease
  • Possible to miss early GFR changes, such as a rapid decrease in levels, which may be a sign of diabetic kidney disease

Urine Test

  • High level of protein or albumin in the urine is a marker of kidney damage. Urine tests are used to examine signs of kidney disease and other health problems
  • The test results can be affected by other factors such as diets, and thus, may change upon patients’ daily situation
  • Relatively low accuracy especially in detecting the early stages of kidney disease

How Reti-CKD works

Eye Scan

Take 1 retinal photograph per eye using a fundus camera by optometrists or technicians


Submit images to the cloud for analysis and type patient information


Automatically analyze for signs of CKD risk within a minute


Generate personalized health screening results and download the report


Refer to specialists for further follow-up or suggest lifestyle changes and regular check-ups


Get your result within a minute

Clinical Evidence

Reti-CKD has been validated with data from large-scale longitudinal studies of the UK biobank, and the Korean Diabetic Cohort. 

Find our retinal-based AI diagnostic solutions published and cited in top-tier medical journals.


Retinal Photograph-based Deep Learning Predicts CKD among people with preserved kidney function

American Society of Nephrology

Predicting kidney disease is challenging, especially in people with preserved kidney function.