Work

Artificial intelligence-driven clinical auxiliary diagnosis of benign paroxysmal positional vertigo

Year: 2026

Type: article

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.

Source: Frontiers in Neurology

DOI: 10.3389/fneur.2026.1774729

Authors: Siyang Dai, Ying Wu, Xiaocui Kang, Zuoting Shen, Ping Zhong

Institution: University of Shanghai for Science and Technology

Language: English

Topic: Vestibular and auditory disorders

Subfield: Neurology

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $3,801