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Visual Field Analysis With Artificial Intelligence
Sponsor: Sight Intelligence Engineering Corporation
Summary
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.
Official title: Visual Field Analysis With Artificial Intelligence: Establishing Normal Threshold Values for Healthy Participants Using a Visual Field Perimeter
Key Details
Gender
All
Age Range
18 Years - 100 Years
Study Type
OBSERVATIONAL
Enrollment
100
Start Date
2025-07-01
Completion Date
2026-08-31
Last Updated
2025-11-03
Healthy Volunteers
Yes
Conditions
Interventions
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.
Locations (1)
Sight Intelligence Engineering
Alexandria, Virginia, United States