This article examines the current and future role of decision-support systems and automation in vestibular diagnosis across emergency, primary care, and specialty settings. Vestibular disorders are common but often misdiagnosed because of overlapping symptoms, challenging bedside examinations, and limitations of neuroimaging. Structured diagnostic approaches improve accuracy when correctly applied....
✦ The floor
Discussion
Signed responses from readers of the wire.
Decision-support and automation tools for vestibular diagnosis are promising but remain largely investigational across care settings — no immediate change to clinical practice is supported by this review alone.
Validated diagnostic decision-support tools could standardise vestibular assessment, reduce clinician skill variability, and cut the historically high rate of misdiagnosis in acute dizziness presentations.
- 01Examines decision-support systems and automation for vestibular diagnosis across care settings.
- 02Covers emergency, primary care, and specialist audiology/neurology contexts.
- 03Discusses both current tools in use and future automated diagnostic possibilities.
- 04Published in Neurologic Clinics as part of a digital vestibular medicine series.
- 05Does not present original trial data; provides a conceptual and landscape review.
Diagnostic decision-support systems and automation can play a meaningful role in vestibular diagnosis across emergency, primary care, and specialty settings.
opinionpartially supported- PMID
- 42869522
- DOI
- 10.1016/j.ncl.2026.07.018.
- Journal
- Neurologic Clinics
- Publication type
- review
- Evidence level
- 5
- Population
- Patients with vestibular disorders presenting across emergency, primary care, and specialty clinical settings
- Intervention
- Diagnostic decision-support systems and automated vestibular diagnosis tools
Primary outcomes
Current and future roles of decision-support and automation in vestibular diagnosis; Applicability across emergency, primary care, and specialty settings