Diagnostic Utility of Comprehensive Balance Function Testing in Patients with Vertigo and the Role of Database Development for Future AI Integration

The utility of balance function tests in the diagnosis of vertigo was retrospectively evaluated using paper-based data (1996–1998) and digitally collected data (2023–2024). Data of a total of 1,392 cases from the paper dataset and 182 cases from the digital dataset were analyzed by logistic multivariate analysis for major vertigo disorders. The diagnostic value of individual tests varied by disorder, and the incorporation of newer testing modalities appeared to enhance the diagnostic accuracy. While data entry from paper records was time-consuming, the digital dataset allowed for efficient data capture and reliable storage, underscoring its potential usefulness for the development of AI-based automated diagnostic systems.

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Publication Details

Journal
Equilibrium Research
Published
2025-08-31
DOI
https://doi.org/10.3757/jser.84.197
Primary Topic
Vestibular and auditory disorders
Type
article
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article

Diagnostic Utility of Comprehensive Balance Function Testing in Patients with Vertigo and the Role of Database Development for Future AI Integration

Toru Miwa, Shumpei Futami
Equilibrium Research
Vestibular and auditory disorders
article

Diagnostic Utility of Comprehensive Balance Function Testing in Patients with Vertigo and the Role of Database Development for Future AI Integration

Toru Miwa, Shumpei Futami
article en

Abstract

The utility of balance function tests in the diagnosis of vertigo was retrospectively evaluated using paper-based data (1996–1998) and digitally collected data (2023–2024). Data of a total of 1,392 cases from the paper dataset and 182 cases from the digital dataset were analyzed by logistic multivariate analysis for major vertigo disorders. The diagnostic value of individual tests varied by disorder, and the incorporation of newer testing modalities appeared to enhance the diagnostic accuracy. While data entry from paper records was time-consuming, the digital dataset allowed for efficient data capture and reliable storage, underscoring its potential usefulness for the development of AI-based automated diagnostic systems.

Equilibrium ResearchVol. 84(4)
Kyoto University (JP), Teikyo University Hospital (JP), Akebono Clinic (JP), Osaka Metropolitan University (JP), Teikyo University (JP)
Openalex Percentile: Top 65%
Vestibular and auditory disorders
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Diagnostic Utility of Comprehensive Balance Function Testing in Patients with Vertigo and the Role of Database Development for Future AI Integration — Toru Miwa, Shumpei Futami · Equilibrium Research (2025) | TGRS Research Map | TGRS