Enhancing neurovestibular care using machine learning and motion analysis: A systematic review of diagnostic approaches

Author Information

Christopher Yam, Drexel University College of MedicineFollow
Munib Ali, Human Performance Laboratory Cumming School of Medicine, University of CalgaryFollow
Mariam Kabalan, Cumming School of Medicine, University of Calgary
Katie de Champlain, Cumming School of Medicine, University of Calgary
Justin K. Chau, Cumming School of Medicine, University of Calgary

Keywords:

neurotology, machine-learning, vestibular, aging, balance

Recommended Citation

Yam, Christopher; Ali, Munib; Kabalan, Mariam; Champlain, Katie de; and Chau, Justin K., "Enhancing neurovestibular care using machine learning and motion analysis: A systematic review of diagnostic approaches" (2024). Tower Health Research Day. 88.
https://scholarcommons.towerhealth.org/th_researchday/2023-2024/online_posters/88

Institutional Review Board/Institutional Animal Care and Use Committee Approved or Exempt

Not Applicable