Visual Field Perimeter Optimized with Eye Gaze Capture and Artificial Intelligence: 1. Natural Eye Movement To the best of our knowledge, this is the first visual field perimeter software that allows users to move their eyes naturally during the test. Previous visual field tests required that patients maintain a central gaze throughout the test as test points flashed in the periphery of their vision; our test allows patients to look directly at these test points. 2. Simplified Data Capture To the best of our knowledge, this is the first visual field perimeter software that reliably eliminates the need for a hand-held clicker to register test points as the user sees them. 3. Attention Monitoring In previous tests, staring at a central spot could induce sleepiness and inattention; our test employs a software monitor that pauses the test, gives encouragement when appropriate, and allows the patient to regain focus. This allows for far greater accuracy in data reporting. 4. Artificial Intelligence (AI) Our test uses AI to optimize the test parameters.
The purpose of this study is to analyze visual field data from healthy participants. This data will be used to develop and optimize a new visual field perimeter test. The test will incorporate an advanced algorithm, which may include the use of Artificial Intelligence (AI), to enhance accuracy and efficiency in identifying test points.
| Facility | City | Region | Status |
|---|---|---|---|
| Sight Intelligence Engineering | Alexandria | Virginia |
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT06920290 on ClinicalTrials.gov ↗ ← All trials in the USA