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Introduction: The pupillary light reflex (PLR) is a well-validated biomarker for neurologic monitoring and a decision-making tool for traumatic brain injury patients. We studied a machine learning-based mobile pupillometry platform in patients with acute ischemic stroke (AIS) with a large-vessel occlusion (LVO) prior to thrombectomy, compared to healthy volunteers. Methods: Pupillometry measurements were conducted with a mobile pupillometry platform (PupilScreen) and a digital infrared pupillometer (NeurOptics) for both pre-thrombectomy AIS subjects and healthy volunteers at an academic medical center. To correct for subject age differences, comparisons used the absolute inter-eye difference in each parameter for each subject by measuring the right:left (R:L) eye ratio absolute distance away from 1. Inter-eye difference means across subjects between AIS and healthy cohorts were analyzed for PLR changes in the presence of acute LVO using a t-test for independent means. Results: Seven AIS patients (4 female, 3 male; 1 Hispanic, 6 Caucasian; mean age 60.9 years) and 32 healthy patients (19 female, 13 male; 1 Hispanic, 2 African American, 3 Native American, 5 Asian, 21 Caucasian; mean age 34.4) were enrolled. All LVOs were of the middle cerebral artery, with 3 on the left and 4 on the right. NPi value was above 3 (briskly reactive) for all subjects. However, the smartphone pupillometer demonstrated a statistically significant (p Conclusions: Patients with AIS from LVO demonstrate inter-eye differences in PLR parameters, and mobile pupillometry could be used as a pre-intervention biomarker of AIS in future study. Further investigation in a larger cohort is necessary.