MachineMD is a medtech spin-off bringing automation to neurological examination by measuring eye reflexes and movements with a unified device. Its product, NeuroLens (often referred to under development names), is a VR headset that conducts a full battery of neuro-ophthalmic tests – assessing pupil reactions, eye movements, and visual fields – to aid in the early diagnosis of brain disorders such as stroke, multiple sclerosis, and brain tumors.

When a patient wears the machineMD headset, it presents standardized visual stimuli (dots of light, patterns, moving objects) in a controlled VR environment. High-precision cameras and sensors inside the headset track the patient’s eye movements (saccades, pursuit, nystagmus) and record pupillary light reflexes to these stimuli. The system automatically performs eight classic exams – for example, checking how pupils constrict to light, measuring eye alignment and tracking, and mapping peripheral vision. All these data are then analyzed with software (including AI algorithms) to detect abnormalities: e.g., a relative afferent pupillary defect indicating optic nerve damage, or slowed eye movement indicating a brainstem lesion. The output is quantitative and objective, reducing the subjectivity of manual exams. machineMD essentially provides an “ECG for the brain via the eyes,” since changes in these ocular metrics often reflect specific neurological pathologies.

In emergency rooms, the device can assist in stroke codes – a deviation in gaze or unequal pupil response captured by the headset could quickly signal a brain infarct requiring urgent imaging. In outpatient neurology, it helps screen for conditions like MS (detecting subtle optic neuritis via slowed pupil reflex) or Parkinson’s (through tracking eye movement abnormalities). Because it standardizes tests that typically require specialist doctors, it can expand access to high-quality neuro exams in clinics without neuro-ophthalmologists. It’s also useful for tracking disease progression or recovery; for instance, after a concussion or intracranial surgery, doctors can monitor improvement in eye reflexes over time. By bringing together VR, eye-tracking, and AI, machineMD’s solution significantly enhances early detection and monitoring in neurology, turning sensitive eye biomarkers into actionable clinical data.