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Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE
Sponsor: Second Affiliated Hospital of Nanchang University
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.
Official title: Diagnostic Efficacy of Convolutional Neural Network Based Algorithm in Predicting Intraoperative Complications and Postoperative Outcomes in Small Incision Lenticule Extraction
Key Details
Gender
All
Age Range
18 Years - 45 Years
Study Type
OBSERVATIONAL
Enrollment
1250
Start Date
2021-06-15
Completion Date
2025-12
Last Updated
2025-08-29
Healthy Volunteers
Yes
Conditions
Interventions
AI diagnostic algorithm
The SMILE procedures collected would be assessed by the algorithm. The performance of the algorithm would be assessed, including accuracy, AUC, sensitivity and specificity.
Locations (1)
The Second Affiliated Hospital of Nanchang University
Nanchang, Jiangxi, China