Evaluating Simulated Skew Deviation with a Smartphone Eye-Tracking Tool (EyePhone): A Feasibility Assessment
By
Rajvi Babaria
Pouya Barahim Bastani
Hector Rieiro
Shervin Badihian
Jorge Otero-Millan
Ali Saber Tehrani
July 21, 2026
Clinical Scorecard: Evaluating Simulated Skew Deviation with a Smartphone Eye-Tracking Tool (EyePhone): A Feasibility Assessment
At a Glance
Category Detail
Condition Skew Deviation Key Mechanisms Detection of vertical ocular misalignment indicative of vestibular causes, particularly in stroke. Target Population Healthy volunteers without known vestibular or ocular motor disorders. Care Setting Emergency Department
Key Highlights
HINTS eye exam improves diagnostic accuracy for vestibular strokes with 98% sensitivity and 97% specificity. Skew deviations of >5 diopters are highly specific for stroke. EyePhone shows a Spearman correlation of 0.93 for detecting skew deviations. Area under the ROC curve for discriminating skews ≥5 diopters is 0.90. Smartphone technology may enhance accessibility for eye movement analysis. Guideline-Based Recommendations
Diagnosis
Utilize the HINTS eye exam to differentiate between peripheral and central causes of acute vestibular syndrome. Management
Further validation of EyePhone in clinical groups is necessary before clinical implementation. Monitoring & Follow-up
Monitor eye movements for signs of skew deviation in patients presenting with dizziness. Risks
Misdiagnosis of strokes presenting with dizziness due to subtlety in skew deviation detection. Patient & Prescribing Data
Healthy volunteers aged 18 and older.
EyePhone application may serve as a practical tool for detecting clinically significant skew deviation.
Clinical Best Practices
Incorporate smartphone-based eye tracking in emergency settings for improved assessment of vestibular disorders. Ensure proper calibration and recording conditions when using EyePhone for eye movement analysis. Related Resources & Content
