Publications

Smartphone pupillometry with machine learning differentiates ischemic from hemorrhagic stroke: A pilot study

DEC. 12, 2024
National Library of Medicine

Similarities between acute ischemic and hemorrhagic stroke make diagnosis and triage challenging. We studied a smartphone-based quantitative...

Smartphone-Based Pupillometry Using Machine Learning for the Diagnosis of Sports-Related Concussion

DEC. 03, 2024
National Library of Medicine

To assess the diagnostic accuracy of a smartphone-based quantitative pupillometer in the acute diagnosis of SRC. Methods: Division I college...

Smartphone pupillometry predicts ischemic penumbra in acute ischemic stroke

NOV.17, 2024
National Library of Medicine

Recent advances in time-sensitive treatment methods for large vessel occlusion (LVO), including medical and mechanical thrombectomy, have increased the importance of rapid...

Smartphone pupillometry for detection of cerebral vasospasm after aneurysmal subarachnoid hemorrhage

NOV. 2024
Journal of Stroke and Cerebrovascular Diseases

Vasospasm is a complication of aneurysmal subarachnoid hemorrhage (aSAH) that can change the trajectory of...

Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study

MAR.14, 2024
JMIR Neurotechnology

Adult patients diagnosed with acute mTBI with normal neuroimaging were evaluated in an emergency department within 36 hours of injury (control group: healthy...

A smartphone pupillometry tool for detection of acute large vessel occlusion

DEC. 2023
Journal of Stroke and Cerebrovascular Diseases

Pupillary light reflex (PLR) parameters can be used as quantitative biomarkers of neurological function. Since digital infrared pupillometry is expensive, we...

Validation of a Smartphone Pupillometry Application in Diagnosing Severe Traumatic Brain Injury

AUG.16, 2023
National Library of Medicine

The pupillary light reflex (PLR) is an important biomarker for the detection and management of traumatic brain injury (TBI). We investigated the performance...

Mobile Smartphone-Based Digital Pupillometry Curves in the Diagnosis of Traumatic Brain Injury

JUN. 30, 2022
Frontiers in Neuroscience

he pupillary light reflex (PLR) and the pupillary diameter over time (the PLR curve) is an important biomarker of neurological disease, especially in the...

PupilScreen: Using Smartphones to Assess Traumatic Brain Injury

SEP.11, 2017
Association for Computing Machinery

Before a person suffering from a traumatic brain injury reaches a medical facility, measuring their pupillary light reflex (PLR) is one of the few quantitative measures a clinician can use to predict their...

Patents

Smartphone-based DigitalPupillometer
# 62/513,808 – Granted 3 March 2023

Safeguards the complete pipeline of using a smartphone and its camera, guided by a machine learning model, to provide accurate, reliable and accessible pupillometry for diagnosing and monitoring traumatic brain injuries and related neurological conditions.

Computervision for pupil measurement
Heldby UW with exclusive rights to Apertur
Divisionalfiled March 20, 2023; claims allowed

Pupillary Curve Morphology &Diagnosis Management # 18/516,392 – Provisional, filed 21 November 2023

Safeguards a pupillary analysis pipeline for pupil video captured by any camera source and any stimulus type. Includes collection of a pupil database with corresponding physiological identifiers for use in training diagnostic models.

Held by Apertur
Machine learning & generative AI for diagnosis

From Concussion to Stroke, PupilScreen Assesses Brain Health in Seconds.

Contact Apertur

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