Condition: Pulmonary Diseases · Ophthalmological Diagnostic Techniques · Artificial Intelligence · Sponsor: Zhongshan Ophthalmic Center, Sun Yat-sen University
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.
This description comes directly from the study's public registry record.
Weixing Zhang, M.D. · 8615602211660 · zhangwx98@mail2.sysu.edu.cn
Always discuss trial participation with your own doctor first.
| Zhongshan Ophthalmic Center, Sun Yat-sen University | Guangzhou, Guangdong, China | Recruiting |
| Guangzhou Kindness Health Care Center (Guangzhou Jiubang Shanxin Clinic Ltd) | Guangzhou, Guangdong, China | Recruiting |
| the First Affiliated Hospital of Guangzhou Medical University | Guangzhou, Guangdong, China | Recruiting |
| Shenzhen Third People's Hospital | Shenzhen, Guangdong, China | Recruiting |
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Source record: clinicaltrials.gov/study/NCT05847894