Viewing Study NCT05538793


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Study NCT ID: NCT05538793
Status: COMPLETED
Last Update Posted: 2023-10-27
First Post: 2022-09-11
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: Deep Learning for the Discrimination Among Different Types of Keratits: a Nationwide Study
Sponsor: Ningbo Eye Hospital
Organization:

Study Overview

Official Title: Deep Learning for the Discrimination Among Bacterial, Fungal, Viral, Amebic and Noninfectious Keratitis: a Nationwide Study
Status: COMPLETED
Status Verified Date: 2023-10
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief Summary: Detecting the cause of keratitis fast is the premise of providing targeted therapy for reducing vision loss and preventing severe complications. Due to overlapping inflammatory features, even expert cornea specialists have relatively poor performance in the identification of causative pathogen of infectious keraitis. In this project, the investigators aim to develop an automated and accurate deep learning system to discriminate among bacterial, fungal, viral, amebic and noninfectious keratitis based on slit-lamp images and evaluated this system using the datasets obtained from mutiple independent clinical centers across China.
Detailed Description: None

Study Oversight

Has Oversight DMC: True
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: