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The multimodal upgrade and clinical use of an large language AI eye emergency triage and diagnose model

The multimodal upgrade and clinical use of an large language AI eye emergency triage and diagnose model

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100384
Enrollment
Unknown
Registered
2025-04-08
Start date
2025-04-08
Completion date
Unknown
Last updated
2025-04-14

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

Conditions

Ophthalmic emergencies, including but not limited to: penetrating eye injuries, acute angle closure glaucoma, orbital cellulitis

Interventions

Sponsors

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

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: 1. Eye emergency patients who voluntarily used intelligent triage diagnosis system to take eye appearance photos and eye segment photos; 2. Internet hospital patients of Zhongshan Ophthalmic Center, Sun Yat-sen University; 3. aged 18 - 65 years old; 4. Gender is not limited.

Exclusion criteria

Exclusion criteria: 1. Patients who are unwilling to sign the informed consent form are excluded; 2. Patients who are unable to cooperate with the completion of the examination due to Alzheimer's disease and inability to move are excluded;

Design outcomes

Primary

MeasureTime frame
Accurate triage rate;

Countries

China

Contacts

Public ContactLiuxueying Zhong

The Zhongshan Ophthalmic Center,Sun Yat-sen University

843860477@qq.com+86 150 9995 4411

Outcome results

None listed

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