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Recruiting
NCT05847894
Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology
Conditions: Pulmonary Diseases, Ophthalmological Diagnostic Techniques, Artificial Intelligence
Sex: All
Healthy volunteers: Yes
Enrollment: 10000
Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University
Location: Zhongshan Ophthalmic Center, Sun Yat-sen University Guangzhou Guangdong
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 Criteria
Inclusion Criteria:
* Those aged ≥18 years; or those aged \
Source: ClinicalTrials.gov (NCT05847894). StuddyBuddy aggregates publicly available trial information.
