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.

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This study is active but is not currently recruiting participants.

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Key information

Conditions

Triage

Sex eligibility

All sexes

Study type

Observational

Primary location

University of Catanzaro

Catanzaro, Italy

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Exclusion criteria

Patients labelled with red codes and serious injuries.

Treatment and study plan

observation

Other

there is no intervetiuons

Primary outcomes

Numbers of Undertriaged

Time frame: 12 monthds

The investigators will measure the number of misclassifications
Undertriaged

Time frame: 12 months

The investigators will measure the ability to predict undertriage

Sponsors and collaborators

Lead sponsor

University of Catanzaro

Other

Collaborators

Azienda Ospedaliera Universitaria Renato Dulbecco

Registry information

Official study title

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

Important dates

Study start: 2025
Primary completion: 2026
Study completion: 2027
First posted: Dec 31, 2025
Registry last updated: Jan 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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Active, Not Recruiting