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.
Those aged ≥18 years; or those aged <18 years who can cooperate with the relevan... [+6]
Patients who are unable to complete ophthalmology or pulmonary-related examinati... [+3]