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Deep learning in ophthalmic imaging

Deep learning in ophthalmic imaging

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000037498
Enrollment
Unknown
Registered
2020-08-28
Start date
2020-08-20
Completion date
Unknown
Last updated
2020-10-19

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

Conditions

Systemic disease

Interventions

Gold Standard:Clinical outcome
Index test:expert-assistant&#32
deep&#32
convolutional&#32
neural&#32
network

Sponsors

First Affiliated Hospital of Harbin Medical University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Systemic disease patients and healthy participants who underwent a series of ophthalmic examinations in our hospital.

Exclusion criteria

Exclusion criteria: (1) Subjects who wore contact lenses and underwent eye surgery within a month; (2) Too low quality of images to preprocess.

Design outcomes

Primary

MeasureTime frame
deep learning algorithms;sensitivity;Specificity;Accuracy;—

Countries

China

Contacts

Public ContactHong Zhang

First Affiliated Hospital of Harbin Medical University

lixinyuexinyue@foxmail.com+86 13804505456

Outcome results

None listed

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