RecruitingNot Applicable

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

China1,250 participantsStarted 2021-06-15

Plain-language summary

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

Who can participate

Age range18 Years – 45 Years

SexALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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.

What they're measuring

AUROC of convolutional neural network in predicting OBL area

Timeframe: Day 0

AUROC of convolutional neural network in predicting progressive suction loss

Timeframe: Day 0

AUROC of convolutional neural network in predicting effective optical zone

Timeframe: Day 7

AUROC of convolutional neural network in predicting postoperative refractive error

Timeframe: Day 7

AUROC of convolutional neural network in predicting postoperative central corneal thickness

Timeframe: Day 7

Trial details

NCT IDNCT06204926

SponsorSecond Affiliated Hospital of Nanchang University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2027-12

Contact for this trial

Jian Xiong, docter

18170906556 894040417@qq.com

View on ClinicalTrials.gov More Deep Convolutional Neural Network trials