Viewing Study NCT06332703



Ignite Creation Date: 2024-05-06 @ 8:19 PM
Last Modification Date: 2024-10-26 @ 3:25 PM
Study NCT ID: NCT06332703
Status: NOT_YET_RECRUITING
Last Update Posted: 2024-05-10
First Post: 2024-03-15

Brief Title: Acanthamoeba and Artificial Intelligence
Sponsor: IRCCS Ospedale San Raffaele
Organization: IRCCS Ospedale San Raffaele

Study Overview

Official Title: Acanthamoeba and Artificial Intelligence Single-center Retrospective Observational Study
Status: NOT_YET_RECRUITING
Status Verified Date: 2024-03
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: Acanthamoeba keratitis caused by the pathogen Acanthamoeba spp is recognized worldwide as a severe ocular infection that can pose potential risks to vision

This observational retrospective and single-center study of exploratory nature aims to determine the possibility of identifying patterns that may be useful for future rapid diagnosis of Acanthamoeba keratitis from confocal images leveraging the normality of corneal examination and the high specificity and sensitivity of computational models

The data will be based on patients who have been confirmed positive through laboratory tests with proven effectiveness in detecting the infection

The laboratory tests considered for the division of patients into their respective groups are bacterial examination PCR examination and culture examination

Patients were divided into two groups the first comprising patients positive for Acanthamoeba infection while the second comprised patients negative for Acanthamoeba but positive for other pathogens The study will last for 18 months

The cohort under study includes 151 patients from the IRCCS San Raffaele Hospital who underwent the aforementioned examinations of which 76 cases will be included in the group of patients positive for Acanthamoeba and 75 in the group of controls positive for other pathogens

The confocal images of this cohort will be fed into artificial intelligence software To evaluate the model the test set will be used and the AI models ability will be assessed using the most commonly used metrics in the field of computer vision such as accuracy specificity sensitivity and f1-score culminating in a comprehensive evaluation of the model
Detailed Description: None

Study Oversight

Has Oversight DMC: None
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?: None