Actively Recruiting
Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images
Led by Second Affiliated Hospital of Nanchang University · Updated on 2026-04-24
326
Participants Needed
1
Research Sites
347 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
To evaluate the diagnostic efficacy of deep learning network model in implantable collamer lens selection and prediction in a multicenter cross-sectional study
CONDITIONS
Official Title
Study on the Diagnostic Efficacy of ICL Selection and Prediction Depth Model Based on Eye Images
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Aged 18-45 years
- Myopia, with or without astigmatism, with an annual diopter change of 0.50 or less for 2 consecutive years
- Anterior chamber depth of 2.80 mm or greater
- Corneal endothelial cell count of 2000 per mm2 or higher with stable cell morphology
- No other ocular diseases significantly affecting vision and no systemic organic lesions affecting surgical recovery
You will not qualify if you...
- Presence of other ocular diseases significantly affecting vision or systemic organic lesions affecting surgical recovery
- History of corneal refractive surgery or intraocular surgery
- Low corneal endothelial cell count
- Presence of systemic diseases
- Lactating or pregnant women
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
The Second Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China, 330000
Actively Recruiting
Research Team
J
Jian Xiong doctor
CONTACT
F
Fu Gui docter
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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