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Diagnostic Efficacy of CNN in Predicting Intraoperative Complications in SMILE

Testing CNN's ability to predict surgery complications in SMILE procedure.

Recruiting
18-45 years
All
Phase N/A

Small Incision Lenticule Extraction (SMILE) is a type of eye surgery that uses a laser to correct vision problems caused by refractive errors, like nearsightedness. A convolutional neural network (CNN) is a type of artificial intelligence that can learn to predict problems during the surgery based on images. This study is testing how well this AI can predict surgery complications, like opaque bubble layer (OBL), which is a cloudiness that can happen during the laser procedure.

Doctors usually predict these issues from images and how well the patient cooperates, but it takes a lot of experience. The AI aims to match doctors' accuracy in spotting these complications so it can be a helpful tool in real surgeries.

  • Study Length: Multi-center study with one-time assessment.
  • Participation: No contact lenses for 2 weeks before study.
  • Eligibility: For adults (18+) with stable vision correction needs.
Study details
    Deep Convolutional Neural Network
    Small-incision Lenticule Extraction (SMILE) Surgery
    Intraoperative Complications

NCT06204926

Second Affiliated Hospital of Nanchang University

24 January 2024

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