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Identifying Local Signs at the Catheter Insertion Site With Artificial Intelligence

NCT05440396 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2022-10-25

No results posted yet for this study

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.

Conditions

  • Catheter Infection

Interventions

DIAGNOSTIC_TEST

Photographs collection phase

Three medical experts have been selected to review the photo collected. Each expert medical assesses the presence of local signs of infection on the photographs by annotating them directly via a dedicated software. They will annotate local signs: redness, perfusion extravasation, necrosis, hematoma, edema, non-purulent discharge, and purulent discharge. A convolutional neural network model will determine the probability of local sign presence. Each picture will be annotated to determine the main characteristics of the catheter. A dataset preparation with photo cropping will be performed for modelling.

Sponsors & Collaborators

  • Assistance Publique - Hôpitaux de Paris

    collaborator OTHER

  • National Network Surveillance and Prevention of Infections Associated with Invasive Devices SPIADI

    collaborator UNKNOWN

  • University Hospital, Clermont-Ferrand

    collaborator OTHER

  • University Hospital, Grenoble

    collaborator OTHER

  • UNICANCER

    collaborator OTHER

  • University Grenoble Alps

    collaborator OTHER

  • Outcome Rea

    lead OTHER

Principal Investigators

  • Jean-François TIMISIT, Pr · Assistance Publique - Hôpitaux de Paris

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-09-01
Primary Completion
2023-12-31
Completion
2023-12-31
FDA Device
Yes

Countries

  • France

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05440396 on ClinicalTrials.gov