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Identifying Local Signs at the Catheter Insertion Site With Artificial Intelligence — DeepCath  

Catheter Infection Clinical Trial

Official title:
Development of an Artificial Intelligence Model of Image Recognition Through Images of Intravascular Catheters From Inpatients and Outpatients to Identify the Presence of Local Signs Associated With Infection

Clinical Trial Summary

Deepcath is the first step to the introduction of artificial intelligence in catheter care. A better use of visualisation of catheter exit site should be used not only by the HCWs but also by the patients and their family. A deep learning system able to detect visual abnormalities of the catheter exit site will be an helpful tools to develop a continuous follow-up of intravascular catheters.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT05440396
Study type Observational [Patient Registry]
Source Outcome Rea
Contact Jean-François TIMSIT, Pr
Phone +33140257703
Email jean-francois.timsit@aphp.fr
Status Recruiting
Phase
Start date September 1, 2022
Completion date December 31, 2023
View Details
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