Viewing Study NCT05282056



Ignite Creation Date: 2024-05-06 @ 5:22 PM
Last Modification Date: 2024-10-26 @ 2:27 PM
Study NCT ID: NCT05282056
Status: COMPLETED
Last Update Posted: 2022-05-04
First Post: 2022-03-14

Brief Title: COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics
Sponsor: Bogdan Bercean
Organization: XVision

Study Overview

Official Title: COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics
Status: COMPLETED
Status Verified Date: 2022-05
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: The aim of the study is to asses the influence of computer aided diagnostic to the process of lung affection quantification on computer tomography in COVID-19 confirmed patients
Detailed Description: The lung involvement of COVID-19 patients has been showed to be correlated to clinical outcomes and became part of the clinical practice Even though various scores can be used the affection estimation is usually done on computer tomography using radiologistss estimation skills which is a highly subjective process

Artificial intelligence is a known objective constant and therefore a potential radiologist complement This trial aims at studying the effect of using a computer aided diagnostic software integrated in the normal clinical practice of radiologists from Timisoara County Emergency Hospital It uses the AI-PROBE analysis setup which turns off the CAD outputs for randomly chosen 50 the cases control and then compares the radiological reports for differences between the two arms

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