Introducing Carrot AI™ | Severity Index
The First AI-Powered Visual Field Severity Staging Assistant
Built from machine learning analysis of 50,000 reliable visual fields, Severity Index helps make visual field loss severity easier to assess, communicate, and review with confidence.
18 exams • 5 CPT codes
FDA + Health Canada licensed
Independently validated in clinic
exams completed
clinics prefer Carrot
average ROI
hours saved annually
See Carrot in Action
How It Works
From Complex Visual Field Data to Objective Severity Staging
Step 1
Start with the same 24-2 test you already know
Step 2
Open your patient's 24-2 report
Step 3
Get an objective severity stage instantly
Step 4
Use AI as a second set of eyes
Step 5
Create a clearer path for conversations
Our Partners
Developed by Leaders in Ophthalmic AI & Visual Field Analysis
Severity Index was developed in partnership with EyeLomics and guided by leading experts in glaucoma, visual field analysis, and artificial intelligence. Meet the researchers and clinicians who helped bring objective visual field severity staging to Carrot.
Dr. Siamak Yousefi, PhD, FARVO
Dr. Yousefi is an Associate Professor at Bascom Palmer Eye Institute and a Fellow of the Association for Research in Vision and Ophthalmology (ARVO). A recognized leader in ophthalmic AI, his work helped establish the machine learning methodology behind Severity Index, including the use of unsupervised learning to identify visual field severity stages directly from large-scale visual field data.
Dr. Rehan Ahmed, MD
Dr. Ahmed is an ophthalmologist and AI strategist focused on translating advanced ophthalmic AI into practical tools for clinical care. His perspective helped shape Severity Index as an assistive technology designed to make visual field severity easier to assess, communicate, and review while supporting clinical judgment through a standardized, objective staging framework.
Case Study
How Akler Eye Center Modernized Visual Field Testing Without Sacrificing Clinical Confidence
The New Gold Standard in Automated Perimetry
Carrot set the standard for VR visual fields when we introduced the first virtual visual field system in 2018. Today, our clinically validated testing is benchmarked against SITA, delivering accurate, repeatable results that support confident diagnosis and a seamless transition to modern visual diagnostics.
"Now that we have [Carrot], we can put patients in exam rooms and conduct their visual field testing, keeping the diagnostic room open for other tests and patients."
Dr. Steve Rice
CEO, Vision Clinic and Administrator of Vision Source Missouri
