Use of artificial intelligence to support prehospital traumatic injury care: A scoping review

J Toy, J Warren, K Wilhelm, B Putnam… - Journal of the …, 2024 - Wiley Online Library
Background Artificial intelligence (AI) has transformative potential to support prehospital
clinicians, emergency physicians, and trauma surgeons in acute traumatic injury care. This …

Validation of a smartphone pupillometry application in diagnosing severe traumatic brain injury

AJ Maxin, BG Gulek, C Lee, D Lim… - Journal of …, 2023 - liebertpub.com
The pupillary light reflex (PLR) is an important biomarker for the detection and management
of traumatic brain injury (TBI). We investigated the performance of PupilScreen, a …

From real world data to real world evidence to improve outcomes in neuro-ophthalmology

BD Colman, Z Zhu, Z Qi, A van der Walt - Eye, 2024 - nature.com
Real-world data (RWD) can be defined as all data generated during routine clinical care.
This includes electronic health records, disease-specific registries, imaging databanks, and …

Smartphone pupillometry for detection of cerebral vasospasm after aneurysmal subarachnoid hemorrhage

AJ Maxin, S Kush, BG Gulek, GM Winston… - Journal of Stroke and …, 2024 - Elsevier
Objectives Vasospasm is a complication of aneurysmal subarachnoid hemorrhage (aSAH)
that can change the trajectory of recovery and is associated with morbidity and mortality …

[HTML][HTML] Developing a theoretically informed implementation model for telemedicine-delivered medication for opioid use disorder: qualitative study with key informants

J Tay Wee Teck, R Gittins, G Zlatkute… - JMIR Mental …, 2023 - mental.jmir.org
Background Telemedicine-delivered medication for opioid use disorder (TMOUD) has
become more prevalent during the COVID-19 pandemic, particularly in North America. This …

A smartphone pupillometry tool for detection of acute large vessel occlusion

AJ Maxin, BG Gulek, J Chae, G Winston… - Journal of Stroke and …, 2023 - Elsevier
Objectives Pupillary light reflex (PLR) parameters can be used as quantitative biomarkers of
neurological function. Since digital infrared pupillometry is expensive, we sought to examine …

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

AJ Maxin, BM Whelan, MR Levitt, LB McGrath… - Diagnostics, 2024 - mdpi.com
Background: Quantitative pupillometry has been proposed as an objective means to
diagnose acute sports-related concussion (SRC). Objective: To assess the diagnostic …

[HTML][HTML] Smartphone Pupillometry with Machine Learning Differentiates Ischemic from Hemorrhagic Stroke: A Pilot Study

AJ Maxin, BG Gulek, DH Lim, S Kim, R Shaibani… - Journal of Stroke and …, 2024 - Elsevier
Objectives Similarities between acute ischemic and hemorrhagic stroke make diagnosis and
triage challenging. We studied a smartphone-based quantitative pupillometer for …

[HTML][HTML] Smartphone pupillometry predicts ischemic penumbra in acute ischemic stroke

AJ Maxin, BG Gulek, H Litz, Z Brandt… - Journal of Stroke and …, 2025 - Elsevier
Background Recent advances in time-sensitive treatment methods for large vessel occlusion
(LVO), including medical and mechanical thrombectomy, have increased the importance of …

[HTML][HTML] Interdevice Agreement between a Smartphone and a Commercial Pupillometer

Y Rattan, KK Girgla, G Mahajan… - International Journal of …, 2024 - journals.lww.com
Background: The reliability of dynamic pupillometry parameters varies from one pupillometer
to another, making it difficult to standardize the values for any particular device. Hence …