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
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- Outcome Rea
- 入组人数
- 1,000
- 试验地点
- 4
- 主要终点
- The number of correct predictions for redness divided by the total number of predictions
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •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
排除标准
- •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.
结局指标
主要结局
The number of correct predictions for redness divided by the total number of predictions
时间窗: 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.
次要结局
- 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)