Nystagmus, the involuntary rhythmic oscillation of the eyes, is a critical diagnostic marker in vestibular medicine, distinguishing life-threatening central disorders such as stroke from benign peripheral conditions including Benign Paroxysmal Positional Vertigo (BPPV)....
Clinicians should monitor emerging AI-assisted diagnostic tools for vestibular disorders, but no currently validated AI telemedicine platform is ready for routine clinical adoption based on this review alone.
AI-driven telemedicine for vestibular diagnostics could dramatically expand access to specialist-level assessment in underserved areas and reduce time-to-diagnosis for serious central causes of vertigo.
- 01Review spans traditional vestibular diagnostics through to AI-driven telemedicine platforms.
- 02Distinguishing central (brain-related) from peripheral (inner-ear) vestibular disorders is the core diagnostic challenge addressed.
- 03AI tools show promise for automated nystagmus detection and classification.
- 04Telemedicine applications could extend specialist vestibular care to remote populations.
- 05No single AI tool has reached validated clinical readiness per the review's scope.
AI-driven tools can assist in distinguishing central from peripheral vestibular disorders via nystagmus analysis.
studypartially supportedTelemedicine approaches can be applied to nystagmus and vertigo diagnostics.
studypartially supported- PMID
- 42356922
- DOI
- 10.3390/s26123949.
- Journal
- Sensors
- Publication type
- review
- Evidence level
- 5
- Population
- Patients with nystagmus and/or vertigo across peripheral and central vestibular etiologies
- Intervention
- Review of diagnostic approaches from clinical pathophysiology to AI-driven telemedicine
Primary outcomes
Diagnostic accuracy for distinguishing central from peripheral vestibular disorders; Utility of AI tools for nystagmus detection and classification