Capability
Automated Lazy Eye Detection
2 artifacts provide this capability.
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Find the best match →Capability
2 artifacts provide this capability.
Want a personalized recommendation?
Find the best match →via “oculomotor-abnormality-detection-via-eye-tracking”
Unique: Uses high-frequency infrared corneal reflection eye-tracking (60-250Hz) combined with machine learning classifiers trained on normative oculomotor baselines to detect subclinical neurological abnormalities invisible to human clinical observation, rather than relying on subjective bedside neurological examination or coarse video-based gaze estimation
vs others: Detects neurological abnormalities 6-18 months earlier than conventional clinical exams by quantifying subtle oculomotor changes, whereas traditional neurological testing relies on observable motor/cognitive deficits that emerge only after significant neuronal loss
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