Introducing Carrot AI Severity Index

The First AI-Powered Visual Field Severity Staging Assistant

Built directly into Carrot’s 24-2 reports, Severity Index helps clinicians quantify visual field severity with greater consistency and confidence through objective, AI/ML-powered staging.

Developed with Eyelomics

Built from 50k reliable visual fields

Exclusive to Carrot's VR Platform

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In Good Company

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Vision Source Village Optometry
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Hillsboro Vision clini

Recorded Live at Eyes on Glaucoma

Go behind the science of Severity Index

Join Dr. Siamak Yousefi, PhD, FARVO, and Dr. Rehan Ahmed, MD, as they discuss the clinical challenges of visual field severity staging, the machine learning methodology behind Severity Index, and what AI means for the future of glaucoma care.

How It Works

From Complex Visual Field Data to Objective Severity Staging

Severity Index brings AI-powered visual field severity staging directly into Carrot’s 24-2 report—helping clinicians understand, communicate, and review functional vision loss with greater consistency and confidence.
Run the 24-2
Review the Report
See the Severity Index
Interpret with Confidence
Align Care Decisions

Step 1

Start with the same 24-2 test you already know

Patients complete the 24-2 visual field the same way they do today. No additional testing, technician steps, or separate software required.
Components Tab

Step 2

Open your patient's 24-2 report

Severity Index appears directly inside Carrot’s updated report experience, alongside the visual field data clinicians already review.

Step 3

Get an objective severity stage instantly

Each reliable 24-2 visual field is automatically staged as Normal, Mild, Moderate, or Advanced using an AI-powered model developed from 50,000 reliable visual fields.

Step 4

Use AI as a second set of eyes

Severity Index helps reduce the cognitive load of visual field review by giving clinicians a standardized reference point to assess, communicate, and contextualize severity.

Step 5

Create a clearer path for conversations

Severity Index does not diagnose disease or replace clinical judgment. It supports more consistent conversations with patients, colleagues, referral partners, and specialists.

VR-Powered Visual Diagnostics. AI-Powered Clinical Confidence.

Why It Matters

Turn Complex Visual Field Data into Clear Clinical Insight

Severity Index transforms complex visual field data into a clear, standardized severity stage—giving clinicians an objective reference point directly within the report.
  • Easier severity staging

  • Reduced cognitive load

  • More consistent, confident interpretation

  • Clearer patient and referral communication

A New Way to Understand Visual Field Severity

For decades, visual field severity staging has relied on clinical experience and subjective interpretation.

Severity Index introduces a new approach.

Built from machine learning analysis of 50,000 reliable visual fields, Severity Index automatically stages visual fields as Normal, Mild, Moderate, or Advanced—providing clinicians with an objective second set of eyes during report review.

Designed to support clinical judgment, not replace it.
Our Partners

Built by Leaders in Glaucoma, Ophthalmology, and AI

Severity Index was developed in partnership with Eyelomics, led by:

Dr. Siamak Yousefi, PhD, FARVO

Associate Professor, Bascom Palmer Eye Institute

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Dr. Rehan Ahmed, MD

Ophthalmologist and AI Strategist

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Case Study

How Akler Eye Center Modernized Visual Field Testing Without Sacrificing Clinical Confidence

When Akler Eye Center set out to improve the patient experience, they didn't expect to transform their entire approach to visual field testing. See why they switched to Carrot—and why they have no interest in going back.
Read the Full Story
Clinical Studies

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.

Patient Experience with Virtual Reality-Based Visual Field Test | Weill Cornell Medicine; American Geriatrics Society (AGS)

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Why Dr. Rosa Chooses Carrot to Treat his Optometry Patients

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Checklist | What Future-Ready Eye Care Practices Do Differently

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Kinetic Visual Field Exam

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Virtual Field is Now Carrot. Celebrating Our Next Leap in Visual Diagnostic Leadership

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Eye Gallery Improves Patient Experience, Efficiency, and Diagnostic Confidence with Carrot

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How Scott & Christie Eyecare Associates Improves Glaucoma Care with Carrot

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Can Carrot Meet the Visual Field Testing Demands of Glaucoma Care? Dr. James Murphy Shares His Experience.

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Why Dr. Lisa Timmerman, Optometrist at Centerville Family Eyecare, Chooses Carrot

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Akler Eye Center Improves Patient Experience, Clinic Efficiency, and Diagnostic Confidence with Carrot

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Why Dr. Copeland Uses Carrot for Efficient Visual Field Screening

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How Vision Clinic Delivers Consistent Care with Carrot

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Understanding Ptosis and the Role of the Superior 36 Visual Field Test

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"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

Copyright © 2026 Carrot (formerly Virtual Field). All Rights Reserved.
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