Research on Application of Artificial Intelligence Technology Based on Machine Learning in Ophthalmology Imaging Diagnosis

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2100049457

Enrollment

Unknown

Registered

2021-08-02

Start date

2021-08-01

Completion date

Unknown

Last updated

2022-04-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ophthalmology Imaging Diagnosis

Interventions

Case series:No

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1. Be able to cooperate with the corresponding imaging examination of ophthalmology; 2. There is no age or gender limit; 3. Be able to understand the purpose of the inspection; 4. Voluntary participation and informed consent signed by the patient himself or his legal guardian.

Exclusion criteria

Exclusion criteria: 1. Those with severe systemic diseases who cannot cooperate with the examination; 2. Those who participate in clinical trials of other drugs or medical devices at the same time; 3. Other conditions that the investigator judges that the patient is not suitable for inclusion.

Design outcomes

Primary

Measure	Time frame
ophtalmological imaging data;	—

Countries

China

Contacts

Public ContactShi Mingyu

The Fourth Affiliated Hospital of China Medical University

myshi@cmu.edu.cn+86 18900913663

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026