Using AI to predict complications in SMILE eye surgery

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study evaluates the effectiveness of a deep convolutional neural network (CNN) in predicting intraoperative complications and postoperative outcomes during Small Incision Lenticule Extraction (SMILE) surgery. By analyzing scan images and patient data, the AI algorithm aims to enhance the accuracy of predicting complications that can arise due to individual corneal characteristics. The study is multi-centered and seeks to assess the real-world utility of this AI diagnostic tool in improving surgical outcomes for patients undergoing SMILE procedures.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* 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.

Exclusion Criteria:

* 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's running

• The Second Affiliated Hospital of Nanchang University
  Nanchang, Jiangxi, China Recruiting

Study contacts

• Study coordinator: Jian Xiong, docter
• Email: 894040417@qq.com
• Phone: 18170906556

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.