Ignite Creation Date:
2024-10-26 @ 3:39 PM
Last Modification Date:
2024-10-26 @ 3:39 PM
Study NCT ID:
NCT06577012
Status:
COMPLETED
Last Update Posted:
None
First Post:
2024-08-26
Brief Title:
Potential Risk Factors and Predictive Model Construction of OBL During SMILE
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Predicting an Opaque Bubble Layer During Small-Incision Lenticule Extraction Surgery Based on Deep Learning
Status:
COMPLETED
Status Verified Date:
2024-08
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
To explore the prediction of OBL by deep learning model in SMILE surgery
Detailed Description:
The DL model was used to predict the OBL area during SMILE surgery by identifying the corneal full-view images before laser scanning The DL model developed may assist surgeons to predict the possible OBL area of patients in advance so as to adjust some surgical parameters and reduce the formation of OBL which can avoid negative effects on surgeons operation and patients postoperative visual recovery which has important practical significance
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None