Ophthalmology AI

Award Winning algorithms that identify AMD, Glaucoma and Diabetic Retinopathy from fundus images

Challenge

Early identification of eye disease

  • Standard screening by an ophthalmologist is not always a viable option
  • Ongoing travel restrictions and associated fear of visiting clinics
  • Increased burden of retinal disease with disproportionately low number of retina specialists

Prevalence of Eye Disease in the US

1.

Diabetic Retinopathy in 7.7million

2.

Glaucoma in 2.7 million

3.

Age Related Macular Degeneration in 2.1 million

4.

About 80% of blindness is preventable

5.

Estimated annual economic burden: 139 billion dollars

Solution

Ophthalmology diagnostic imaging AI

Zasti Ophthalmology AI processed over 200,000 images to provide predictions with 97% accuracy.

Telemedicine enabled

Decreased burden of cost

Prevention of blindness

Early identification of glaucoma, diabetic retinopathy, and macular degeneration

Increased access to care

Fundus Cameras: Imaging the Retina

In partnership with Forus Health

3nethra

classic

Portable high resolution fundus camera for adults

  • Nonmydriatic digital imaging

  • Early screening for diabetic retinopathy, glaucoma, AMD

  • Telemedicine enabled

3nethra

neo

Portable high resolution fundus camera for infants

  • Mydriatic wide-field digital imaging
  • Early screening for retinopathy of prematurity
  • Telemedicine enabled

Advantages

Triage

AI identifies those with highest risk of retinal disease for triage

Prevents

Blindness by early screening

Early detection

Detects ophthalmic diseases at an earlier stage than any currently available methods

Availability

Increases access to care

Decreases

Economic burden of eye disease

With over 10 Billion Healthcare Transactions, Zasti offers a broader range of solutions for your particular needs.

Make this data and AI provide value for you