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

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.

NCT Number	NCT07312968
Lead Sponsor	University of Catanzaro Collaborators: Azienda Ospedaliera Universitaria Renato Dulbecco
Conditions	Triage
Enrollment	1,500 participants
Start Date	2025-11-01
Primary Completion	2026-11 (estimated)
Study Completion	2027-11-30 (estimated)
Updated on ClinicalTrials.gov	2026-01-06