protocolSection identificationModule nctId: NCT06334796, orgStudyIdInfo id: 10476, briefTitle: Artificial Intelligence-powered Virtual Assistant for Emergency Triage in Neurology, acronym: AIDEN, statusModule overallStatus: COMPLETED, startDateStruct date: 2023-10-01, primaryCompletionDateStruct date: 2024-01-01, completionDateStruct date: 2024-01-01, studyFirstPostDateStruct date: 2024-03-28, lastUpdatePostDateStruct date: 2024-03-28, sponsorCollaboratorsModule leadSponsor name: Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia, class: OTHER, collaborators name: Entelai, descriptionModule briefSummary: 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., conditionsModule conditions: Stroke, conditions: Guillain-Barre Syndrome, conditions: Facial Palsy, conditions: Migraine, conditions: Status Epilepticus, conditions: Vertigo Benign Positional, conditions: Delirium, conditions: Trigeminal Neuralgia, conditions: Meningitis, conditions: Subarachnoid Hemorrhage, designModule studyType: INTERVENTIONAL, phases: EARLY_PHASE1, designInfo allocation: NON_RANDOMIZED, interventionModel: SINGLE_GROUP, interventionModelDescription: The model of this Phase 1 interventional study involves evaluating the diagnostic accuracy and utility of an AI-powered virtual assistant in the triage of emergency neurological conditions. Patients and healthcare professionals interacted with the assistant, providing real-world clinical scenarios to assess its effectiveness. The study's design aimed to demonstrate the assistant's potential to enhance emergency neurological care by comparing its performance with established diagnostic tools and patient outcomes., primaryPurpose: DIAGNOSTIC, maskingInfo masking: NONE, enrollmentInfo count: 10, type: ACTUAL, armsInterventionsModule interventions name: Virtual Assistant, outcomesModule primaryOutcomes measure: Diagnostic performance, secondaryOutcomes measure: Appropriate medical conduct or recommendation, secondaryOutcomes measure: Assessment of Usability and Satisfaction, eligibilityModule sex: ALL, minimumAge: 18 Years, stdAges: ADULT, stdAges: OLDER_ADULT, contactsLocationsModule locations facility: Fleni, city: Buenos Aires, zip: 1428, country: Argentina, geoPoint lat: -34.61315, lon: -58.37723, hasResults: False