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Observational Study of Glandy EOM for Eye Movement Analysis

This study is testing a new software called Glandy EOM. This software uses artificial intelligence (AI) to analyze videos of your eye movements taken with a smartphone. Doctors currently check eye movements by observing them, which can be subjective. Glandy EOM aims to provide a more objective and measurable way to assess eye movements. We are looking for 1000 adults who have suspected or known problems with how their eyes move (ocular motility disorders), such as strabismus (crossed eyes) or thyroid eye disease. The study will compare the measurements from Glandy EOM to what doctors observe. This will help us understand how well the software works. This is an observational study, and the software is for research only.

Study design
This is a multinational observational study involving about 1000 adults. It is designed to evaluate the clinical validity of the Glandy EOM software.
What's involved
You will have a single study visit. This visit includes a standard eye exam, an assistant-aided smartphone video recording, and a self-recorded video using a mobile app.
Compensation
Not stated in the trial record.
Follow-up
Measurements are taken at a single study visit, so there is no long-term follow-up after this visit.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.

NCT07623837

Clinical Validation of AI-Based Quantitative Eye Movement Analysis From Smartphone 9-Gaze Videos (Glandy EOM)

Not Yet Recruiting
Not specifiedAges 22+Observational
THYROSCOPE INC.
~1,000 participants
Updated 2026-06-03 on ClinicalTrials.gov
What's tested:Glandy EOM (AI-based quantitative eye movement analysis software)

At a glance

Recruiting sites
0 of 1 listed site is recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Agreement between AI-derived and rater-derived corneal center displacement (distance, mm)
Measured over At study visit (single visit)
+2 more outcomes measured

Conditions

Ocular Motility Disorders
Strabismus
Extraocular Muscle Dysfunction
Thyroid Eye Disease

Explore related trials

Disorder of eye movementsExtraocular Muscle DysfunctionStrabismusThyroid eye disease

Where it's being run

1 sites across 1 states
California1

Who to contact

Jaemin Park
[email protected]
+82-52-264-4154
Email the study team

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Do you actually qualify for this trial?

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Eligibility criteria

Inclusion

Adults who have reached the legal age of consent for research participation in the applicable jurisdiction.
Subjects with suspected or known ocular motility abnormalities.
Subjects who are able to understand and follow gaze instructions required for the 9-gaze examination, as judged by the investigator.
Subjects who are able to undergo facial video recording using a smartphone.
Subjects who provide written informed consent.

Exclusion

Conditions that prevent reliable detection of ocular landmarks in video recordings (e.g., severe ptosis, corneal opacity, or significant occlusion of the eyes).
Ocular or facial conditions that, in the opinion of the investigator, may significantly interfere with image-based analysis.
Subjects who are unable to comply with study procedures.

What this trial measures

  • Agreement between AI-derived and rater-derived corneal center displacement (distance, mm)At study visit (single visit)

    Agreement between AI-derived and rater-derived measurements of corneal center displacement expressed as distance (mm) across 9 gaze positions, assessed by intraclass correlation coefficient (ICC) and Bland-Altman analysis.

  • Agreement between AI-derived and rater-derived angular deviation (degrees)At study visit (single visit)

    Agreement between AI-derived and rater-derived measurements of corneal center displacement expressed as angular deviation (degrees) across 9 gaze positions, assessed by ICC and Bland-Altman analysis.

  • Linear association and absolute error vs. rater-derived referenceAt study visit (single visit)

    Linear association and absolute error between AI-derived and rater-derived measurements (both distance and angular deviation), assessed by Pearson correlation coefficient and mean absolute error (MAE), respectively.