Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology

Recruiting

• Conditions: Ophthalmological Diagnostic Techniques; Pulmonary Diseases; Artificial Intelligence
• Interventions: Diagnostic Test: Ophthalmic examination; Diagnostic Test: Pulmonary Examination

• Registration Number: NCT05847894
• Lead Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University

Brief Summary

This study intends to collect ophthalmologic examination results, pulmonary examination results and related indexes from patients with pulmonary disease and control populations, and combine big data analysis and artificial intelligence technology to explore whether new methods can be provided for early screening strategies for pulmonary disease with the aid of ophthalmologic examination, and thus assist in identifying the types of pulmonary disease and determining disease prognosis.

Detailed Description

Not available

Study Timeline

• Study Start: 2020-06-29
• Study First Submitted: 2023-04-20
• Study First Submitted QC: 2023-05-05
• Study First Posted: 2023-05-08
• Status Verified: 2025-05
• Last Update Submitted: 2025-05-19
• Last Update Posted: 2025-05-23
• Primary Completion: 2026-05
• Study Completion: 2026-05

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 10000

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.

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Arm && Interventions

Group	Intervention	Description
Test group	Pulmonary Examination	Individuals with one or more pulmonary diseases
Test group	Ophthalmic examination	Individuals with one or more pulmonary diseases
Control group	Ophthalmic examination	Individuals who do not suffer from pulmonary diseases
Control group	Pulmonary Examination	Individuals who do not suffer from pulmonary diseases

Primary Outcome Measures

Name	Time	Method
Area Under the Receiver Operating Characteristic curve	Through study completion, an average of 1 year	Determining the accuracy of diagnosing pulmonary disease with ophthalmic examination

Trial Locations

Locations (4)

Guangzhou Kindness Health Care Center (Guangzhou Jiubang Shanxin Clinic Ltd); 🇨🇳 Guangzhou, Guangdong, China

the First Affiliated Hospital of Guangzhou Medical University; 🇨🇳 Guangzhou, Guangdong, China

Shenzhen Third People's Hospital; 🇨🇳 Shenzhen, Guangdong, China

Zhongshan Ophthalmic Center, Sun Yat-sen University; 🇨🇳 Guangzhou, Guangdong, China