NCT07312968

AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data.

AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data

• Status: Active Not Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 1,500 (actual)
• Sponsor: University of Catanzaro · Academic / Other
• Sex: All
• Age: —
• Healthy volunteers: Not accepted

Summary

Artificial intelligence, and in particular Graph Neural Networks (GNNs), have shown enormous potential in the analysis of complex clinical data. Thanks to their ability to model relationships between variables, GNNs represent a significant evolution compared to traditional models, enabling better interpretation of medical information and supporting data-driven decision-making in complex contexts such as emergency medicine. The application of GNNs to clinical triage and to the prediction of length of stay can improve clinical efficiency by optimizing resource allocation and patient management. This observational study aims to evaluate the accuracy of predictions with respect to real clinical data, contributing to the development of advanced predictive tools to support healthcare decision-making processes.

Conditions

• Triage

Interventions

Type	Name	Description
OTHER	Observation	there is no intervetiuons

Timeline

• Start date: 2025-11-01
• Primary completion: 2026-11-01
• Completion: 2027-11-30
• First posted: 2025-12-31
• Last updated: 2026-01-06

Locations

1 site across 1 country: Italy