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Semi-Supervised Learning (SSL) artificial intelligence classification system for anterior segment photography

Semi-Supervised Learning (SSL) artificial intelligence classification system for anterior segment photography

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400092386
Enrollment
Unknown
Registered
2024-11-14
Start date
2024-11-15
Completion date
Unknown
Last updated
2024-11-18

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

Conditions

Corneal disease is a general term for all corneal diseases that cause pathological changes in the cornea due to inflammation, trauma, congenital diseases, malnutrition or tumors, and is one of the important causes of vision loss in patients. It is often accompanied by symptoms such as red eyes, eye pain, photophobia, tearing, and decreased vision. If not treated in time, it may lead to corneal sca

Interventions

All data sets:None

Sponsors

The Zhongshan Ophthalmic Center,Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1.original images of the anterior segment of the eye taken at Zhongshan Ophthalmic Center from January 2018 to August 2024 and stored in the electronic collection management system;

Exclusion criteria

Exclusion criteria: 1.anterior segment photography images with poor image quality and cannot be used for clinical diagnosis and treatment; 2.images of vulnerable groups such as children and pregnant women as subjects;

Design outcomes

Primary

MeasureTime frame
Area Under Curve;

Countries

China

Contacts

Public ContactYang Yangfan

The Zhongshan Ophthalmic Center,Sun Yat-sen University

yangyangfan@gzzoc.com+86 134 3022 2898

Outcome results

None listed

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