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本文引用的文献

1
Validation of a Smartphone Pupillometry Application in Diagnosing Severe Traumatic Brain Injury.智能手机瞳孔计应用程序在诊断严重创伤性脑损伤中的验证。
J Neurotrauma. 2023 Oct;40(19-20):2118-2125. doi: 10.1089/neu.2022.0516. Epub 2023 Aug 16.
2
Mobile Smartphone-Based Digital Pupillometry Curves in the Diagnosis of Traumatic Brain Injury.基于移动智能手机的数字瞳孔测量曲线在创伤性脑损伤诊断中的应用
Front Neurosci. 2022 Jul 1;16:893711. doi: 10.3389/fnins.2022.893711. eCollection 2022.
3
The Pupillary Light Reflex as a Biomarker of Concussion.瞳孔对光反射作为脑震荡的生物标志物
Life (Basel). 2021 Oct 18;11(10):1104. doi: 10.3390/life11101104.
4
iPhone-based Pupillometry: A Novel Approach for Assessing the Pupillary Light Reflex.基于iPhone的瞳孔测量法:一种评估瞳孔光反射的新方法。
Optom Vis Sci. 2018 Oct;95(10):953-958. doi: 10.1097/OPX.0000000000001289.

Smartphone-based pupillometry in resource-limited settings: an 'eye-catching' prospect.

作者信息

Kutum Chayanika, Lakhe Prashant

机构信息

Department of Anaesthesiology, All India Institute of Medical Sciences, Nagpur, India.

Department of Neurosurgery, All India Institute of Medical Sciences, Nagpur, India.

出版信息

Brain Spine. 2025 Aug 7;5:104384. doi: 10.1016/j.bas.2025.104384. eCollection 2025.

DOI:10.1016/j.bas.2025.104384
PMID:40895028
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12391761/
Abstract
摘要