Diagnosing diabetic retinopathy

Human expert-level accuracy

Meet our client


CUSTOMERCalifornia Healthcare Foundation

How we did it

Diagnosing diabetic retinopathy requires a skilled physician to analyze photographs of retinas. Early diagnosis enables about 90% of new cases to be controlled with proper treatment and eye monitoring.

deepsense.ai’s model reduced the time and effort needed to identify developing diabetic retinopathy.

A weighted Kappa measure based on the opinions of trained physicians was used to validate the solution. The model scored 83% QWK, a result comparable with what a skilled physician can do.

Further reading

We want to hear from you

    Fill out this quick form and we will contact you shortly

    You can modify your privacy settings and unsubscribe from our lists at any time (see our privacy policy).

    This site is protected by reCAPTCHA and the Google privacy policy and terms of service apply.

    Find us
    • deepsense.ai, Inc.
    • 2100 Geng Road, Suite 210
    • Palo Alto, CA 94303
    • United States of America
    • deepsense.ai Sp. z o.o.
    • al. Jerozolimskie 162A
    • 02-342 Warsaw
    • Poland
    • ul. Łęczycka 59
    • 85-737 Bydgoszcz
    • Poland
    Let us know how we can help