Diagnosing diabetic retinopathy

Human expert-level accuracy

Meet our client

INDUSTRYHealthcare

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

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We want to hear from you

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
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