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Comparison of the effects of different large language models in assisting the diagnosis and treatment of lens diseases.

Comparison of the effects of different large language models in assisting the diagnosis and treatment of lens diseases.

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113988
Enrollment
Unknown
Registered
2025-12-05
Start date
2025-12-05
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Cataract and lens dislocation

Interventions

Gold Standard:Clinical Diagnosis
Index test:ChatGPT-4o, Claude-3.7-Sonnet, Llama-4-Maverick, Gemini-2.0 Flash Thinking Experimental

Sponsors

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

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Inpatients in the Cataract Department from November 10, 2024, to May 30, 2025: 1. Patients who have successfully completed surgical treatment; 2. Patients with complete examination records; 3. Cases selected include lens dislocation, congenital cataract, spherophakia, retinitis pigmentosa with cataract, glaucoma-associated cataract, and high myopia-associated cataract.

Exclusion criteria

Exclusion criteria: 1. Patients who are unable to tolerate surgery due to hypertension, diabetes, or other conditions; 2. Patients who voluntarily decline surgery; 3. Patients with incomplete diagnostic documentation.

Design outcomes

Primary

MeasureTime frame
Overall accuracy, relevance, and applicability score;—

Countries

China

Contacts

Public ContactJin Guangming

The Zhongshan Ophthalmic Center,Sun Yat-sen University

jingm@mail2.sysu.edu.cn+86 20 66604125

Outcome results

None listed

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