Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
AgeNot listed
SponsorZhongshan Ophthalmic Center, Sun Yat-sen University

About this trial

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

Qualifiers

Those aged ≥18 years; or those aged <18 years who can cooperate with the relevant examination and are accompanied and informed by a guardian;

People with respiratory-related diseases who were to undergo pulmonary examination, or those who volunteered to participate in the trial through publicity recruitment;

expected survival time of 3 months or more;

Those with no previous serious underlying disease and no history of serious eye disease;

Disqualifiers

Patients who are unable to complete ophthalmology or pulmonary-related examinations and regular follow-ups due to serious diseases, trauma or surgery (serious ophthalmology diseases such as extremely poor vision that cannot be fixed, ocular atrophy, severe refractive interstitial clouding that prevents fundus photography, etc.);

People with poor compliance due to various reasons such as alcohol or drug dependence, or mental disorders;

Those without informed consent;

Other conditions judged by the investigator to be unsuitable for participation in the trial.

Trial design

Treatments tested in this trial

  • Ophthalmic examination
  • Pulmonary Examination

Treatment groups

10,000 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Zhongshan Ophthalmic Center, Sun Yat-sen University

Lead sponsor

The First Affiliated Hospital of Guangzhou Medical University

Collaborator

Shenzhen Third People's Hospital

Collaborator

Guangzhou Kindness Health Care Center (Guangzhou Jiubang Shanxin Clinic Ltd), Guangzhou, China

Collaborator