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
Trial Snapshot
- Phase
- Not Applicable
- Status
- Recruiting
- Sponsor
- Outcome Rea
- Enrollment
- 1,000
- Locations
- 4
- Primary Endpoint
- The number of correct predictions for redness divided by the total number of predictions
Study Overview
Brief 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.
Study Design
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- •Patients over 18 years of age Patients with one or more implanted central venous, midline, piCCline, arterial, or peripheral catheters.
- •Patient and/or trusted person and/or family who have verbally stated their non-objection to the study Patient affiliated or beneficiary of a social security plan
Exclusion Criteria
- •Patients presenting a peripheral identification sign close to the catheter insertion point cannot be masked when the photograph is taken. Thus, jewelry, clothing, tattoos, scars, and birthmarks are identifying features.
- •Patients whose catheter insertion point is not visible.
Outcomes
Primary Outcomes
The number of correct predictions for redness divided by the total number of predictions
Time Frame: through study completion, an average of 1 year
Overall classification accuracy of the learning model compared to the assessment of three independent medical experts on the detection of the presence of redness greater than or equal to 5 mm at the catheter insertion site.
Secondary Outcomes
- The number of correct predictions for indurated venous cord divided by the total number of predictions(through study completion, an average of 1 year)
- The link between presence of local signs and infection(through study completion, an average of 1 year)
- The ratio of true positives and total positives predicted:(through study completion, an average of 1 year)