Artificial intelligence-driven clinical auxiliary diagnosis of benign paroxysmal positional vertigo
Abstract
Benign paroxysmal positional vertigo (BPPV) is one of the most prevalent peripheral vertigo disorders in clinical practice. Its definitive diagnosis relies heavily on characteristic nystagmus induced by positional provocative tests, which imposes high requirements on clinicians and is subject to limitations such as strong subjectivity. The breakthrough advances in artificial intelligence (AI) technologies have provided innovative solutions for the accurate diagnosis and personalized treatment of BPPV. This review systematically summarizes the research progress of AI in the clinical application of BPPV, its enormous potential to improve BPPV diagnostic efficacy, and future directions for development.
Fields of Study & Subjects
Vestibular and auditory disorders
Muscle activation and electromyography studies
Balance
Gait
and Falls Prevention
Publication details
- Journal / source
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Volume
- 17
- Pages
- 1774729–1774729
- Publication date
- 17 February 2026
- Language
- EN