DEEPVALVE

Artificial Intelligence for the Safety of Infusion Valve Management

DeepValve Project Overview

DeepValve aims to become the first digital tool to support healthcare professionals in the rapid and reliable identification of infusion valves, enhancing the safety of patient care involving intravenous devices.
Currently, identifying a valve and adhering to its technical specifications—such as flow direction, usage duration, indications and contraindications, and maintenance procedures—remain critical steps. Any error or uncertainty can lead to misuse, increase infection risk, or compromise continuity of care. In a context where healthcare teams must manage an increasing variety of devices, having a simple and intelligent tool is a key safety requirement.

DeepValve is designed to provide an intuitive interface combined with an image recognition algorithm that identifies a valve and delivers the appropriate guidance within seconds. Its integration into daily practice—whether in hospitals, clinics, or home care—will:
– Reduce handling errors
– Reinforce adherence to best practices
– Improve patient safety for those with infusion devices

Rigorous Clinical Evaluation
To ensure the tool’s reliability and real-world impact, DeepValve undergoes a structured clinical study with three complementary components:
– A controlled simulation phase, assessing the improvement in professionals’ ability to identify valves and follow correct procedures using the application
– Monitoring in real-world conditions, measuring errors or risks prevented through DeepValve
– Targeted case reviews, verifying the alignment between the application’s recommendations and actual clinical practice

This comprehensive approach evaluates the tool’s real performance, acceptability, and concrete impact on the quality and safety of care.