Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE

Recruiting now

Conditions studied: Deep Convolutional Neural Network, Small-incision Lenticule Extraction (SMILE) Surgery, Intraoperative Complications, Postoperative Outcomes

In brief

To evaluate the diagnostic efficiency of the neural network in predicting complications of Small Incision Lenticule Extraction in a multi-center cross-sectional study.

Key facts

Study ID

NCT06204926

Run by

Second Affiliated Hospital of Nanchang University

People needed

1250

Starts

2021-06-15

Expected to finish

2027-12-01

Last updated by the study team

2026-04-24

Who can join

Age: 18 and older, up to 45. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• A condition in which the spherical equivalent refractive error of an eye is ≤-0.50 D when ocular accommodation is relaxed;
• Age ≥18 years;
• Spherical equivalent (SE) ≥-10.0D;
• Corrected distance visual acuity (CDVA) ≥16/20;
• Stable myopia for at least 2 years;
• No contact lenses wearing for at least 2 weeks.

You may not qualify if…

• The presence or history of eye conditions other than myopia and astigmatism, such as keratoconus or external eye injury;
• A history of eye surgery;
• The presence or history of systemic diseases.

Where it is running

• The Second Affiliated Hospital of Nanchang University — Nanchang, Jiangxi, China (enrolling)

Full record on ClinicalTrials.gov

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