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Artificial Intelligence-powered Virtual Assistant for Emergency Triage in Neurology (AIDEN)

F

Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia

Status and phase

Completed
Early Phase 1

Conditions

Subarachnoid Hemorrhage
Status Epilepticus
Vertigo Benign Positional
Meningitis
Delirium
Guillain-Barre Syndrome
Stroke
Trigeminal Neuralgia
Facial Palsy
Migraine

Treatments

Diagnostic Test: Virtual Assistant

Study type

Interventional

Funder types

Other

Identifiers

NCT06334796
10476 (Registry Identifier)

Details and patient eligibility

About

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 AI's recommendations using clinical records and then assessed its performance directly with patients. The findings were as follows: neurologists agreed with the AI's 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.

Full 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 assistant's accuracy when used by patients was evaluated. Finally, its performance was compared with Chat GPT 3.5 and 4.

Enrollment

10 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients over 18 years old consulting in the ER due to a neurological emergency

Exclusion criteria

  • Pregnancy

Trial design

Primary purpose

Diagnostic

Allocation

Non-Randomized

Interventional model

Single Group Assignment

Masking

None (Open label)

10 participants in 3 patient groups

Virtual Assistant
Experimental group
Description:
Patients answer question with a virtual assistant about their recent visit to the ER.
Treatment:
Diagnostic Test: Virtual Assistant
ChatGPT 3.5
Active Comparator group
Description:
Patients answer question with ChatGPT about their recent visit to the ER.
Treatment:
Diagnostic Test: Virtual Assistant
ChatGPT 4
Active Comparator group
Description:
Patients answer question with ChatGPT about their recent visit to the ER.
Treatment:
Diagnostic Test: Virtual Assistant

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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