ClinicalTrials.gg
Not yet recruitingNCT07917741GATESUpdated Nov 5, 2026

AI-Assisted vs Conventional Teleglaucoma Referral

An interventional study of AI-Assisted Teleglaucoma Referral Pathway and Conventional Teleglaucoma Referral Pathway in Glaucoma, sponsored by University of Southern California. Not yet recruiting. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-11-05.

Sponsored by University of Southern California · Not applicable, Interventional, and Diagnostic

Updated Nov 5, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
1,386
Allocation
Randomized
Ages
18 Years and older
Sex
All
01

Study summary

This randomized controlled trial will compare an artificial intelligence (AI)-assisted teleglaucoma referral pathway with conventional referral among adults identified with referable glaucoma through the Los Angeles County Department of Health Services (LAC DHS) Teleretinal Screening Program. The primary objective is to determine whether AI-assisted referral reduces time to in-office diagnosis of manifest glaucoma. Secondary outcomes include glaucoma severity, visual function, need for glaucoma surgery, patient-reported quality of life and satisfaction, health system resource utilization, and cost-effectiveness.

Read the detailed description

Participants identified with referable glaucoma during routine teleretinal screening will be randomized 1:1 to an AI-assisted referral pathway or a conventional referral pathway.

In the AI-assisted arm, fundus photographs will be analyzed using validated deep learning models integrated within the Eye-AI platform. AI outputs, together with intraocular pressure and other clinical information, will be used to stratify referral urgency. AI-generated recommendations will undergo review by glaucoma specialists before referral.

In the conventional referral arm, fundus images will undergo manual review by LAC DHS optometrists, with referral and prioritization performed according to current clinical practice.

Participants in both groups will undergo comprehensive in-office glaucoma evaluation following referral and will be followed for up to 36 months. The primary outcome is time from screening to in-office diagnosis of manifest glaucoma. Secondary outcomes will evaluate disease severity and visual function, need for glaucoma surgery, patient-reported quality of life and satisfaction, health system resource utilization, and cost-effectiveness.

02

Conditions studied

  • Glaucoma

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Keywords

  • glaucoma
  • teleophthalmology
  • artificial intelligence
  • deep learning
  • glaucoma screening
  • teleglaucoma
  • clinical decision support
03

In context

Glaucoma

1,419 studies on the registry are indexed under Glaucoma; 223 are open to participants now.

This study's planned enrollment of 1,386 is above the median of 61 across 964 interventional studies indexed under Glaucoma.

Browse Glaucoma studies →

Lead sponsor

University of Southern California is the lead sponsor of 791 studies on the registry; 136 are open to participants now.

Of its 70 completed or terminated interventional studies of FDA-regulated products, 32 (46%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Provision of signed and dated
  • Age ≥18 years
  • Receiving routine teleretinal screening through the Los Angeles County Department of Health Services (LAC DHS) Teleretinal Screening Program
  • Positive prediction for referable glaucoma by the validated AI algorithm at the time of screening
  • No prior ophthalmology or optometry follow-up within the past year
  • Willingness and ability to comply with study procedures and follow-up

Exclusion criteria

Exclusion Criteria:

  • Inability to tolerate fundus photography or ungradable fundus images
  • Acute vision loss or major ocular complaints requiring immediate in-person evaluation
  • Prior glaucoma diagnosis or treatment within the past year
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

05

Study design

Phase
Not applicable
Primary purpose
Diagnostic
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
1,386 participants (estimated)

Study arms

  • Experimental
    AI-Assisted Teleglaucoma Referral

    Participants will undergo AI-assisted referral using validated deep learning models integrated within the Eye-AI platform. AI outputs, together with intraocular pressure and other clinical information, will be used to stratify referral urgency. AI-generated recommendations will be reviewed by glaucoma specialists before referral.

    Other: AI-Assisted Teleglaucoma Referral Pathway

  • Active comparator
    Conventional Teleglaucoma Referral

    Participants will undergo conventional teleglaucoma referral based on manual grading of fundus photographs by LAC DHS optometrists, with referral and prioritization performed according to current clinical practice.

    Other: Conventional Teleglaucoma Referral Pathway

Interventions

  • OtherAI-Assisted Teleglaucoma Referral Pathway

    Fundus photographs acquired during routine teleretinal screening will be analyzed using validated deep learning models integrated within the Eye-AI platform. For participants identified with referable glaucoma, AI outputs will be combined with intraocular pressure and other clinical information to stratify referral urgency. All AI-generated recommendations will undergo review by a glaucoma specialist before referral.

  • OtherConventional Teleglaucoma Referral Pathway

    Fundus photographs will undergo conventional manual grading by LAC DHS optometrists, with referral and prioritization performed according to current clinical practice.

06

What researchers measure

Primary outcomes

  1. Time to in-office diagnosis of glaucoma

    Number of days from the initial teleophthalmology screening to the first in-office glaucoma evaluation at which manifest glaucoma is diagnosed.

    Time frame: From screening through 36 months

Secondary outcomes

  1. Visual field mean deviation (MD)

    Glaucoma disease severity assessed using visual field mean deviation (MD), measured in decibels (dB), at baseline and 36 months.

    Time frame: Baseline and 36 months

  2. Visual field index (VFI)

    Glaucoma disease severity assessed using visual field index (VFI), expressed as a percentage (%), at baseline and 36 months.

    Time frame: Baseline and 36 months

  3. Mean retinal nerve fiber layer (RNFL) thickness

    Glaucoma disease severity assessed using mean retinal nerve fiber layer (RNFL) thickness measured by optical coherence tomography (OCT), expressed in micrometers (µm), at baseline and 36 months.

    Time frame: Time Frame: Baseline and 36 months

07

Study locations

No study locations are listed for this record.

08

References and documents

Individual participant data

Plan to share: No — Individual participant data will not be shared because patient-level health data from the Los Angeles County Department of Health Services (LAC DHS) are subject to HIPAA and LAC DHS data-sharing restrictions. Aggregate-level study results and derived analytic outputs will be shared in accordance with NIH policy and the approved Data Management and Sharing Plan.

No publications or documents are linked to this record.

09

Timeline

1 registry update since Sep 25, 2026
ElapsedEstimatedEstimated, not yet reachedSimilar studies: half by the dot; the band is the middle halfHalf of similar studies reached it by the dot; the band is the middle half, from a quarter to three quarters

Start is estimated for Jan 2027; primary completion for Dec 2032, 71 months later.

Of 229 non-industry interventional studies with no phase under Glaucoma, half reached primary completion within 31 months of starting (the median), counting those still running; a quarter within 12 and three quarters within 55. This study's planned 71 months is above that.

Counting every sponsor, half of 287 studies reached it within 30 months; a quarter within 12 and three quarters within 53.

How these figures are worked out, and which studies are left out of them.

Registered
Oct 26, 2026
First posted
Nov 5, 2026
StartEst.
Jan 1, 2027
Primary completionEst.
Dec 31, 2032
CompletionEst.
Dec 31, 2034
Last update
Nov 5, 2026
What these dates mean
Start.
When the first participant enrolled; while estimated, when the study expects to open to recruitment.
Primary completion.
When the last participant was examined or treated to collect data for the study's main question, its primary outcome. A study that stopped early gives the date its data collection stopped.
Completion.
When the last participant's last visit took place, for every outcome, secondary ones and side effects included: the end of the study. Often later than primary completion, sometimes the same day.
Actual and Est.
Actual means the registry says the date has happened. Est. (estimated) is a date the sponsor plans or expects. It can still move, and the sponsor is expected to change it to actual once it has passed.
Registered
First appeared on the registry. No changes since
Nov 5, 2026
Show all 1 update
  1. Nov 5, 2026
    First appeared on the registry

From the registry record's own update history. This site started tracking changes on Sep 25, 2026; for anything earlier, see the record history on ClinicalTrials.gov ↗

10

Registry details

Key details

Study ID
NCT07917741
Collaborators
Los Angeles County Department of Health Services (DHS), National Eye Institute (NEI)
Responsible party
Benjamin Xu (Associate Professor of Ophthalmology, University of Southern California) — Principal investigator
First posted
Nov 5, 2026
Start date
Jan 1, 2027 (estimated)
Primary completion
Dec 31, 2032 (estimated)
Completion
Dec 31, 2034 (estimated)
Last update
Nov 5, 2026

Study contacts

Benjamin Y. Xu, MD, PhD
Contact
benjamix@usc.edu
323-442-6425

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Nov 2026. You cannot join it, but the record below documents what was studied.

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