Viewing Study NCT07312968


Ignite Creation Date: 2026-03-26 @ 3:16 PM
Ignite Modification Date: 2026-03-31 @ 12:24 AM
Study NCT ID: NCT07312968
Status: ACTIVE_NOT_RECRUITING
Last Update Posted: 2026-01-06
First Post: 2025-12-17
Is NOT Gene Therapy: True
Has Adverse Events: False

Brief Title: AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data.
Sponsor: University of Catanzaro
Organization:

Study Overview

Official Title: AI4Triage - Development of an Artificial Intelligence Based Methods for the Analysis of Triage Data
Status: ACTIVE_NOT_RECRUITING
Status Verified Date: 2025-12
Last Known Status: None
Delayed Posting: No
If Stopped, Why?: Not Stopped
Has Expanded Access: False
If Expanded Access, NCT#: N/A
Has Expanded Access, NCT# Status: N/A
Acronym: None
Brief 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.
Detailed Description: None

Study Oversight

Has Oversight DMC: False
Is a FDA Regulated Drug?: False
Is a FDA Regulated Device?: False
Is an Unapproved Device?: None
Is a PPSD?: None
Is a US Export?: None
Is an FDA AA801 Violation?: