Clinical Trial Completion with Queen Mary University of London and Barts Health NHS Trust

Validating AI-Driven Pupillometry in Clinical Practice

This study utilized the PuRe Pupillometer for quantitative pupillometry, a method that replaces subjective visual observation with precise, AI-driven measurement of pupillary responses. Traditional neurological assessments rely on clinician judgment, which varies between observers and often misses subtle changes. The PuRe Pupillometer captures objective neuro-ophthalmic biomarkers, including pupillary light reflex velocity and latency, providing standardized data that can detect early neurological changes before they become clinically apparent. This capability is particularly valuable in neurocritical care settings where continuous monitoring can identify patient deterioration within critical time windows. Quantitative pupillometry also holds significant potential for emergency care and EMS applications, enabling rapid, objective assessment of stroke and traumatic brain injury patients in the field where early detection directly impacts treatment decisions and patient outcomes.

Clinical Validation Through World-Class Research Infrastructure

The clinical trial was completed in partnership with Queen Mary University of London and Barts Health NHS Trust. Queen Mary University of London is a Russell Group institution with internationally recognized research programs in clinical medicine and neuroscience. Barts Health NHS Trust is one of the largest NHS trusts in England, operating major teaching hospitals including The Royal London Hospital and providing access to diverse patient populations essential for robust clinical validation. Together, these institutions offer the research infrastructure and clinical expertise necessary for rigorous evaluation of novel neurodiagnostic technologies.

The Clinical and Research Team

We acknowledge Charlotte Edwards and Dr Alexandra Zirra for their diligent work with patients throughout the study. Additionally, we recognize Michal Wlodarski and Dr Ivo John for their leadership in study coordination, and Dr James Neffendorf, Medical Director, for his contributions to study conception and design

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Toward Accessible Neurological Assessment

This trial contributes to ongoing efforts to further validate smartphone-based quantitative pupillometry as a tool for earlier and more objective neurological assessment. Full study outcomes are expected to be published in the near future.