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Recruiting NCT06669728

Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images

Trial Parameters

Condition Posterior Chamber Phakic Intraocular Lens
Sponsor Second Affiliated Hospital of Nanchang University
Study Type OBSERVATIONAL
Phase N/A
Enrollment 326
Sex ALL
Min Age 18 Years
Max Age 45 Years
Start Date 2021-01-02
Completion 2025-08-31
Interventions
AI diagnostic algorithm

Brief Summary

To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study

Eligibility Criteria

Inclusion Criteria: 1. Aged 18-45 years ; 2. Myopia, with or without astigmatism, annual diopter change ≤ 0.50 D for 2 consecutive years ; 3. Anterior chamber depth ≥ 2.80 mm ; 4. Corneal endothelial cell count ≥ 2000 / mm2, stable cell morphology ; 5. There were no other ocular diseases that significantly affected vision and / or systemic organic lesions that affected surgical recovery. Exclusion Criteria: 1. There were no other ocular diseases that significantly affected vision and / or systemic organic lesions that affected surgical recovery; 2. Have a history of corneal refractive surgery or intraocular surgery ; 3. Corneal endothelial cell count is low ; 4. Those with systemic diseases ; 5. Lactating or pregnant women.

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