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Comprehensive research and application exploration of artificial intelligence foundation model based on federal learning and privacy protection in fundus image analysis

Comprehensive research and application exploration of artificial intelligence foundation model based on federal learning and privacy protection in fundus image analysis

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2400094798
Enrollment
Unknown
Registered
2024-12-27
Start date
2025-01-03
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

Referable diabetic retinopathy, glaucoma, age-related macular degeneration

Interventions

Intervention group:Ophthalmologists conduct screening and detection of eye diseases based on ultra-wide field retinal images, assisted by a foundation model
Control group:Ophthalmologists conduct screening and detection of eye diseases based on ultra-wide field retinal images

Sponsors

Shanghai Health and Medical Center
Lead Sponsor

Eligibility

Sex/Gender
All
Age
60 Years to No maximum

Inclusion criteria

Inclusion criteria: (1) Aged 60 years or above; (2) An ultra-wide-field fundus image that can be graded.

Exclusion criteria

Exclusion criteria: (1) Urgent ocular complaints (including sudden vision loss, redness, eye pain, trauma, etc.); (2) Any circumstances in which the investigator considers the subject to be unfit to participate in the study.

Design outcomes

Primary

MeasureTime frame
Correct diagnosis rate;—

Secondary

MeasureTime frame
Referable diabetic retinopathy;Glaucoma suspect;Age-related macular degeneration;—

Countries

China

Contacts

Public ContactTingli Chen

Shanghai Health and Medical Center

chentingli1028@163.com+86 139 5157 1028

Outcome results

None listed

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