Visual Field Analysis With Artificial Intelligence
NCT06920290 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2025-11-03
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.
Conditions
- Glaucoma
- Visual Field Defect
Interventions
- DEVICE
-
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.
Sponsors & Collaborators
-
Sight Intelligence Engineering Corporation
lead INDUSTRY
Eligibility
- Min Age
- 18 Years
- Max Age
- 100 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2025-07-01
- Primary Completion
- 2026-08-31
- Completion
- 2026-08-31
- FDA Device
- Yes
Countries
- United States
Study Locations
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