RecruitingNCT05847894

Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology

Sponsor

Zhongshan Ophthalmic Center, Sun Yat-sen University

Enrollment

10,000 participants

Start Date

Jun 29, 2020

Study Type

OBSERVATIONAL

Conditions

Artificial Intelligence Pulmonary Diseases Ophthalmological Diagnostic Techniques

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.

Eligibility

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying Ophthalmic examination and Pulmonary Examination for people with artificial intelligence, ophthalmological diagnostic techniques, and other related conditions. The study is currently recruiting participants at 4 locations.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DIAGNOSTIC_TESTOphthalmic examination

Various ophthalmic examination modalities, including slit lamp photography, fundus photography, optical coherence tomography imaging and optical coherence tomography angiography, etc.

DIAGNOSTIC_TESTPulmonary Examination

Various pulmonary examination modalities, including radiography, chest CT, pulmonary function measurement, etc.