Viewing Study NCT06334796



Ignite Creation Date: 2024-05-06 @ 8:18 PM
Last Modification Date: 2024-10-26 @ 3:25 PM
Study NCT ID: NCT06334796
Status: COMPLETED
Last Update Posted: 2024-03-28
First Post: 2024-03-06

Brief Title: Artificial Intelligence-powered Virtual Assistant for Emergency Triage in Neurology
Sponsor: Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia
Organization: Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia

Study Overview

Official Title: Phase 1 Trial of the Implementation of an Artificial Intelligence-powered Virtual Assistant for Emergency Triage in Neurology
Status: COMPLETED
Status Verified Date: 2024-03
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: AIDEN
Brief Summary: This study examines the use of an AI-powered virtual assistant for quickly identifying and handling neurological emergencies particularly in places with limited medical resources The research aimed to check if this AI tool is safe and accurate enough to move on to more advanced testing stages In a first-of-its-kind trial the virtual assistant was tested with patients having urgent neurological issues Neurologists first reviewed the AIs recommendations using clinical records and then assessed its performance directly with patients The findings were as follows neurologists agreed with the AIs decisions nearly all the time and the AI outperformed earlier versions of Chat GPT in every tested aspect Patients and doctors found the AI to be highly effective rating it as excellent or very good in most cases This suggests the AI could significantly enhance how quickly and accurately neurological emergencies are dealt with although further trials are needed before it can be widely used
Detailed Description: Background and Objectives Neurological emergencies pose significant challenges in medical care especially in resource-limited countries Artificial Intelligence AI particularly health chatbots offers a promising solution However rigorous validation is required to ensure safety and accuracy The objective of our work is to evaluate the diagnostic accuracy and resolution effectiveness of an AI-powered virtual assistant designed for the triage of emergency neurological pathologies to ensure the minimum standard of safety that allows for the progression to successive validation tests

Methods This Phase 1 trial evaluates the performance of an AI-powered virtual assistant for emergency neurological triage Ten patients over 18 years old with urgent neurological pathologies were selected In the first stage nine neurologists assessed the safety of the virtual assistant using their clinical records In the second part the assistants accuracy when used by patients was evaluated Finally its performance was compared with Chat GPT 35 and 4

Study Oversight

Has Oversight DMC: None
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?: None