Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology
1 other identifier
observational
10,000
1 country
4
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jun 2020
Longer than P75 for all trials
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 29, 2020
CompletedFirst Submitted
Initial submission to the registry
April 20, 2023
CompletedFirst Posted
Study publicly available on registry
May 8, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2026
CompletedStudy Completion
Last participant's last visit for all outcomes
May 1, 2026
CompletedMay 23, 2025
May 1, 2025
5.8 years
April 20, 2023
May 19, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Area Under the Receiver Operating Characteristic curve
Determining the accuracy of diagnosing pulmonary disease with ophthalmic examination
Through study completion, an average of 1 year
Study Arms (2)
Test group
Individuals with one or more pulmonary diseases
Control group
Individuals who do not suffer from pulmonary diseases
Interventions
Various ophthalmic examination modalities, including slit lamp photography, fundus photography, optical coherence tomography imaging and optical coherence tomography angiography, etc.
Various pulmonary examination modalities, including radiography, chest CT, pulmonary function measurement, etc.
Eligibility Criteria
The study population was recruited from people who visited the cooperative medical unit for lung screening, and from people who were recruited through publicity at the unit and in the community.
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (4)
Zhongshan Ophthalmic Center, Sun Yat-sen University
Guangzhou, Guangdong, 510060, China
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
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- CROSS SECTIONAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 20, 2023
First Posted
May 8, 2023
Study Start
June 29, 2020
Primary Completion
May 1, 2026
Study Completion
May 1, 2026
Last Updated
May 23, 2025
Record last verified: 2025-05