Using eye exams and AI to help diagnose lung diseases
Official title: Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology
Run by Zhongshan Ophthalmic Center, Sun Yat-sen University · NCT05847894 · Data updated 2026-11-12
This study is testing if eye exams can help doctors find lung diseases earlier by using artificial intelligence to analyze the results from patients with lung problems and healthy individuals.
Quick facts
| Study type | Observational |
|---|---|
| Sex | All |
| Enrollment | 10000 (estimated) |
| Sponsor | Zhongshan Ophthalmic Center, Sun Yat-sen University Academic / other |
| Locations | 4 sites (Guangzhou, Guangdong and 3 other locations) |
| Status | Recruiting |
| Started | June 29, 2020 |
| Main results expected | May 2027 |
| Study ends | May 2027 |
| Registry record updated | August 12, 2026 |
| Trial ID | NCT05847894 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates include individuals aged 18 and older with respiratory-related diseases who can undergo both ophthalmologic and pulmonary examinations.
✕Probably not a fit
Patients with serious underlying diseases or those unable to complete the required examinations may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to gather results from ophthalmologic and pulmonary examinations of patients with pulmonary diseases and control groups. By utilizing big data analysis and artificial intelligence, the study seeks to determine if eye examinations can provide new strategies for early screening of pulmonary diseases. The goal is to assist in identifying different types of pulmonary diseases and predicting their prognosis based on the collected data.
Why it matters
Potential benefit: If successful, this approach could lead to earlier and more accurate diagnoses of pulmonary diseases, improving patient outcomes.
How similar studies have gone: While the use of AI in medical diagnostics is growing, this specific approach combining ophthalmologic examinations with pulmonary disease diagnosis is relatively novel and has not been extensively tested.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Those aged ≥18 years; or those aged \<18 years who can cooperate with the relevant examination and are accompanied and informed by a guardian; * People with respiratory-related diseases who were to undergo pulmonary examination, or those who volunteered to participate in the trial through publicity recruitment; * expected survival time of 3 months or more; * Those with no previous serious underlying disease and no history of serious eye disease; * Those who can cooperate with ophthalmologic and pulmonary-related examinations and have regular follow-up examinations; * Those who gave informed consent to the study prior to the trial and voluntarily signed the informed consent form; * Other conditions that can be included in the study as judged by the investigator. Exclusion Criteria: * Patients who are unable to complete ophthalmology or pulmonary-related examinations and regular follow-ups due to serious diseases, trauma or surgery (serious ophthalmology diseases such as extremely poor vision that cannot be fixed, ocular atrophy, severe refractive interstitial clouding that prevents fundus photography, etc.); * People with poor compliance due to various reasons such as alcohol or drug dependence, or mental disorders; * Those without informed consent; * Other conditions judged by the investigator to be unsuitable for participation in the trial.
Where it's running
-
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, China Recruiting -
Guangzhou Kindness Health Care Center (Guangzhou Jiubang Shanxin Clinic Ltd)
Guangzhou, Guangdong, China Recruiting -
the First Affiliated Hospital of Guangzhou Medical University
Guangzhou, Guangdong, China Recruiting -
Shenzhen Third People's Hospital
Shenzhen, Guangdong, China Recruiting
Study contacts
- Study coordinator: Weixing Zhang, M.D.
- Email: zhangwx98@mail2.sysu.edu.cn
- Phone: 8615602211660
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.