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Not yet recruitingNCT07890922LifeEye-RCTUpdated Oct 22, 2026

AI-Assisted Systemic Health Risk Assessment in General Ophthalmology: A Cluster Randomized Trial

An interventional study of AI-Assisted Health Risk Information in Systemic Health Risk, sponsored by Zhongshan Ophthalmic Center, Sun Yat-sen University. Not yet recruiting at 1 site in China. Open to participants aged 40 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-10-22.

Sponsored by Zhongshan Ophthalmic Center, Sun Yat-sen University · Not applicable, Interventional, and Screening

Updated Oct 22, 2026Newly registeredGo to Updates ↓
Phase
Not applicable
Study type
Interventional
Enrollment
2,000
Allocation
Randomized
Ages
40 Years and older
Sex
All
01

Study summary

This study will evaluate whether providing ophthalmologists with additional artificial intelligence (AI)-assisted health risk information derived from routine retinal images affects subsequent clinical care in adults attending general ophthalmology clinics. Participating ophthalmologists will be assigned to either usual ophthalmic care or usual ophthalmic care with access to supplementary information generated by an AI system. The AI system does not independently diagnose disease or determine treatment. All clinical decisions remain the responsibility of the ophthalmologist. Participants will receive routine ophthalmic care and will be followed after the ophthalmology visit to collect information on subsequent medical evaluation, newly identified systemic conditions, and changes in clinical management.

Read the detailed description

This is a multicenter, clinician-cluster randomized controlled study conducted in general ophthalmology clinics. Participating ophthalmologists will be assigned to either usual care or usual care with access to supplementary information generated by an artificial intelligence system. The system analyzes fundus photographs and other routinely acquired optical ophthalmic images and provides additional health-related information for physician reference.

The information provided by the AI system is intended only to support clinical judgment. It does not independently establish a diagnosis or prescribe specific investigations or treatments. Treating ophthalmologists will interpret the information together with the patient's history, ophthalmic findings, and their own clinical judgment. When considered appropriate, patients may be advised to seek further evaluation in another medical specialty. Subsequent investigations, diagnoses, and treatments will follow routine clinical practice. Participants will be followed after the ophthalmology visit to collect information on subsequent medical evaluation and clinical care. The study will assess whether access to the AI-assisted information is associated with differences in newly identified systemic conditions and subsequent clinical management.

02

Conditions studied

  • Systemic Health Risk

Keywords

  • Artificial Intelligence
  • Retinal Imaging
  • Ophthalmology
  • Clinical Decision Support
03

In context

Lead sponsor

Zhongshan Ophthalmic Center, Sun Yat-sen University is the lead sponsor of 164 studies on the registry; 80 are open to participants now.

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

04

Who can participate

Ages eligible
40 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

  • Age 40 years or older.
  • Attending a participating general ophthalmology clinic for ophthalmic care.
  • At least one routinely acquired ophthalmic image suitable for analysis is available.
  • Able to provide informed consent.
  • Able to participate in follow-up approximately 30 and 90 days after enrollment.

Exclusion criteria

Exclusion Criteria:

  • Unable to provide informed consent.
  • An ophthalmic or systemic medical emergency requiring immediate care.
  • Available ophthalmic images are unsuitable for analysis.
  • Previous enrollment in this study.
05

Study design

Phase
Not applicable
Primary purpose
Screening
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Participant, Outcomes assessor)
Enrollment
2,000 participants (estimated)

Study arms

  • No intervention
    Usual Care

    Participants receive routine ophthalmic care according to usual clinical practice.

  • Experimental
    AI-Assisted Care

    Participants receive routine ophthalmic care. In addition, ophthalmologists have access to supplementary health risk information generated by an AI system from routinely acquired ophthalmic images. The information is intended only to support clinical judgment and does not independently establish a diagnosis or determine specific investigations or treatment.

    Other: AI-Assisted Health Risk Information

Interventions

  • OtherAI-Assisted Health Risk Information

    An artificial intelligence system analyzes routinely acquired ophthalmic images and provides supplementary information on possible systemic health risks to the ophthalmologist. The information may be considered together with other clinical information when making decisions about further medical evaluation.

06

What researchers measure

Primary outcomes

  1. New systemic diagnosis or clinical management

    Percentage of participants with at least one newly confirmed systemic disease diagnosis and/or new systemic clinical management documented after the index ophthalmology visit.

    Time frame: Within 90 days after the index ophthalmology visit

Secondary outcomes

  1. New systemic disease diagnosis

    Percentage of participants with at least one newly confirmed systemic disease diagnosis documented during subsequent medical evaluation.

    Time frame: Within 90 days after the index ophthalmology visit

  2. New systemic clinical management

    Percentage of participants with at least one new systemic clinical management action, including initiation or modification of treatment, disease-specific follow-up, or other clinically indicated management.

    Time frame: Within 90 days after the index ophthalmology visit

07

Study locations

1 site
  • Zhongshan Ophthalmic Center, Sun Yat-sen University
    Guangzhou, Guangdong 510060, China
    • Wei Wang, PhD · Contact · wangwei@gzzoc.com · +86-20-87334687
    • Wei Wang, PhD · Principal investigator
08

References and documents

Individual participant data

Plan to share: No — Individual participant data are not planned for public sharing because the study includes sensitive clinical and imaging data.

No publications or documents are linked to this record.

09

Updates

1 registry update since Sep 25, 2026
Registered
First appeared on the registry. No changes since
Oct 22, 2026
Show all 1 update
  1. Oct 22, 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
NCT07890922
Responsible party
Wei Wang (Deputy Director, Office for the Prevention and Treatment of Blindness, Zhongshan Ophthalmic Center, Sun Yat-sen University) — Principal investigator
First posted
Oct 22, 2026
Start date
Oct 19, 2026 (estimated)
Primary completion
Feb 19, 2027 (estimated)
Completion
Feb 28, 2027 (estimated)
Last update
Oct 22, 2026

Study contacts

Wei Wang, PhD
Contact
wangwei@gzzoc.com
86-20-87334687
Wei Wang, PhD
principal investigator · Zhongshan Ophthalmic Center, Sun Yat-sen University

Oversight

Data monitoring committee
No
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 Aug 2026. You cannot join it, but the record below documents what was studied.

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