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

> **NCT06204926** · — · RECRUITING · sponsor: **Second Affiliated Hospital of Nanchang University** · enrollment: 1250 (estimated)

## Conditions studied

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

## Interventions

- **DIAGNOSTIC_TEST:** AI diagnostic algorithm

## Key facts

- **NCT ID:** NCT06204926
- **Lead sponsor:** Second Affiliated Hospital of Nanchang University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2021-06-15
- **Primary completion:** 2027-12
- **Final completion:** 2027-12
- **Target enrollment:** 1250 (ESTIMATED)
- **Last updated:** 2026-04-24

## Collaborators

- [object Object]
- [object Object]

## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT06204926

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT06204926, "Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE". Retrieved via AI Analytics 2026-06-09 from https://api.ai-analytics.org/clinical/NCT06204926. Licensed CC0.

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