AIMC Topic: Benign Paroxysmal Positional Vertigo

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Development and Validation of a Machine Learning Model for Detection and Classification of Vertigo.

The Laryngoscope Dec 19, 2024
PURPOSE: This study aims to investigate whether artificial intelligence can improve the diagnostic accuracy of vertigo related diseases.
Migraine Disorders Diagnosis, Differential Male Female Middle Aged Aged Vertigo Adult Benign Paroxysmal Positional Vertigo Machine Learning Sensitivity and Specificity Prospective Studies Hearing Loss, Sensorineural Meniere Disease Humans
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Deep Learning-Based Nystagmus Detection for BPPV Diagnosis.

Sensors (Basel, Switzerland) May 26, 2024
In this study, we propose a deep learning-based nystagmus detection algorithm using video oculography (VOG) data to diagnose benign paroxysmal positional vertigo (BPPV). Various deep learning architectures were utilized to develop and evaluate nystag...
Female Male Neural Networks, Computer Algorithms Video Recording Benign Paroxysmal Positional Vertigo Nystagmus, Pathologic Middle Aged Deep Learning Humans
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Multimodal deep learning-based diagnostic model for BPPV.

BMC medical informatics and decision making Mar 21, 2024
BACKGROUND: Benign paroxysmal positional vertigo (BPPV) is a prevalent form of vertigo that necessitates a skilled physician to diagnose by observing the nystagmus and vertigo resulting from specific changes in the patient's position. In this study, ...
Deep Learning Benign Paroxysmal Positional Vertigo Nystagmus, Pathologic Artificial Intelligence Hospitals Humans
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BPPV Information on Google Versus AI (ChatGPT).

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Aug 25, 2023
OBJECTIVE: To quantitatively compare online patient education materials found using traditional search engines (Google) versus conversational Artificial Intelligence (AI) models (ChatGPT) for benign paroxysmal positional vertigo (BPPV).
Internet Comprehension Artificial Intelligence Patient Education as Topic Search Engine Benign Paroxysmal Positional Vertigo Humans
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A nystagmus extraction system using artificial intelligence for video-nystagmography.

Scientific reports Jul 24, 2023
Benign paroxysmal positional vertigo (BPPV), the most common vestibular disorder, is diagnosed by an examiner changing the posture of the examinee and inducing nystagmus. Among the diagnostic methods used to observe nystagmus, video-nystagmography ha...
Artificial Intelligence Algorithms Diagnostic Techniques, Ophthalmological Benign Paroxysmal Positional Vertigo Humans Neural Networks, Computer Nystagmus, Pathologic
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Diagnosing the benign paroxysmal positional vertigo via 1D and deep-learning composite model.

Journal of neurology Apr 20, 2023
BACKGROUND: Benign Paroxysmal Positional Vertigo (BPPV) is the leading cause of vertigo, and its characteristic nystagmus induced by positional maneuvers makes it a good model for Artificial Intelligence (AI) diagnosis. However, during the testing pr...
Benign Paroxysmal Positional Vertigo Nystagmus, Pathologic Deep Learning Humans Semicircular Canals Artificial Intelligence
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Nystagmus patterns classification framework based on deep learning and optical flow.

Computers in biology and medicine Dec 29, 2022
Benign paroxysmal positional vertigo (BPPV) is the most common vestibular peripheral vertigo disease characterized by brief recurrent vertigo with positional nystagmus. Clinically, it is common to recognize the patterns of nystagmus by analyzing infr...
Benign Paroxysmal Positional Vertigo Nystagmus, Pathologic Humans Optic Flow Deep Learning Semicircular Canals
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Update on benign paroxysmal positional vertigo.

Journal of neurology Nov 24, 2020
Benign paroxysmal positional vertigo (BPPV) is the most common cause of vertigo worldwide. This review considers recent advances in the diagnosis and management of BPPV including the use of web-based technology and artificial intelligence as well as ...
Artificial Intelligence Dietary Supplements Humans Vitamin D Benign Paroxysmal Positional Vertigo
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