AIVertigo: AIVertigo: Automated Differential Diagnosis of Vertigo Using Video-oculography and Advanced Artificial Intelligence-based Triage

Sponsor
Neurobit Technologies Co., Ltd. (Industry)
Overall Status
Completed
CT.gov ID
NCT06115915
Collaborator
Taipei Medical University (Other), Buddhist Tzu Chi Medical Foundation (Other)
391
1
23.6
16.6

Study Details

Study Description

Brief Summary

The eye movement records and vestibular pulse examinations obtained from patients with dizziness can provide characteristic parameters and features of eye movements and vestibular reflexes. These can assist specialized physicians in diagnosing various forms of dizziness disorders. Through extensive analysis of databases, a disease prediction model can be established, significantly lowering the diagnostic barriers for non-specialist doctors, thereby enabling their diagnostic capabilities to approach that of experts.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    Investigators analyze the VOG and vHIT data of vertigo patients in the dizziness clinics of two medical institutions: Shuang Ho Hospital (SHH) between June 2020 and June 2021 and Taichung Tzu Chi Hospital (TTCH) between July 2019 and August 2020, respectively. The institutional review boards of SHH (TMU-JIRB No. N202005118) and TTCH (REC 109-64) approved the study. All patients received structuralized history taking, neurological examinations, neuro-otological examinations, VOG and vHIT. All patients who had focal neurological symptoms/signs or central vestibular/oculomotor signs underwent brain MRI. Final diagnoses were conducted after the comprehensive studies above. The patients who did not finish VOG tests or vHIT or who had invalid data in VOG or vHIT, as well as those with uncertain final diagnoses, were excluded from the study.

    According to the final diagnoses, all patients were further classified into "benign vertigo" and "dangerous vertigo" groups as the reference standard of this study. Benign vertigo is defined as vertigo that is not caused by any serious underlying condition and is generally considered harmless or self-limiting. It includes all peripheral-type vertigo and "benign" central-type vertigo without structural lesions in the brain, such as vestibular migraine and persistent postural-perceptual dizziness. However, dangerous vertigo is defined as the vertigo that is caused by a potentially severe or life-threatening underlying condition that requires immediate medical attention and intervention. It includes central-type vertigo with compatible structural lesions in the brain MRI, vertebrobasilar insufficiency with compatible stenotic arteries in MRI, and cerebellar degeneration with brain atrophy in MRI or apparent cerebellar ataxia. The classification of benign or dangerous vertigo was performed by two neurologists with expertise in dizziness and vertigo at each medical institution (SHH and TTCH) after they reviewed the clinical information and final diagnoses. In case they had differing opinions, they reached a consensus via video conferences. Otherwise, the clinical workflow was in accordance with the standard procedures of each medical institution.

    Study Design

    Study Type:
    Observational
    Actual Enrollment :
    391 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    AIVertigo: Automated Differential Diagnosis of Vertigo Using Video-oculography and Advanced Artificial Intelligence-based Triage
    Actual Study Start Date :
    Jul 1, 2019
    Actual Primary Completion Date :
    Jun 18, 2021
    Actual Study Completion Date :
    Jun 18, 2021

    Outcome Measures

    Primary Outcome Measures

    1. Performance Indices [2 hour per individual]

      Sensitivity, specificity, positive predictive value, and negative predictive value of combined parameters of eye movement and vestibular reflex in screening various types of vestibular disorders. Sensitivity, specificity, positive predictive value, and negative predictive value of combined parameters of eye movement and vestibular reflex in screening various types of vestibular disorders cross different medical institution

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    20 Years to 85 Years
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:
    • Dizziness receiving medical treatment at the Neurology and Otolaryngology departments' outpatient clinics including cases transferred from the emergency department to outpatient clinics.

    • Inpatient wards (including cases transferred from the emergency department to hospitalization) of the Neurology and Otolaryngology departments.

    Exclusion Criteria:
    • With prosthetic eyes.

    • Uncorrected visual acuity below 0.1.

    • Severe hearing or cognitive impairments preventing examination.

    • Severe cervical spine conditions precluding examination.

    • Unable to sit for prolonged periods.

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Taipei Medical University-Shuang Ho Hospital,Ministry of Health and Welfare New Taipei City Taiwan 23561

    Sponsors and Collaborators

    • Neurobit Technologies Co., Ltd.
    • Taipei Medical University
    • Buddhist Tzu Chi Medical Foundation

    Investigators

    None specified.

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    Neurobit Technologies Co., Ltd.
    ClinicalTrials.gov Identifier:
    NCT06115915
    Other Study ID Numbers:
    • 2020061901SAMD
    First Posted:
    Nov 3, 2023
    Last Update Posted:
    Nov 3, 2023
    Last Verified:
    Nov 1, 2023
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Keywords provided by Neurobit Technologies Co., Ltd.
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Nov 3, 2023