Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology

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.

NCT Number	NCT05847894
Lead Sponsor	Zhongshan Ophthalmic Center, Sun Yat-sen University Collaborators: The First Affiliated Hospital of Guangzhou Medical University, Shenzhen Third People's Hospital, Guangzhou Kindness Health Care Center (Guangzhou Jiubang Shanxin Clinic Ltd), Guangzhou, China
Conditions	Pulmonary Diseases, Ophthalmological Diagnostic Techniques, Artificial Intelligence
Enrollment	10,000 participants
Start Date	2020-06-29
Primary Completion	2027-05 (estimated)
Study Completion	2027-05 (estimated)
Updated on ClinicalTrials.gov	2026-08-12