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This paper is in the following e-collection/theme issue:

Neurotech Innovations, Diagnostic Tools and Techniques (72) Mobile Health (mhealth) (5151) mHealth for Data Collection and Research (1719) mHealth in a Clinical Setting (1136) Machine Learning (3147) Digital Biomarkers and Digital Phenotyping (432) mHealth for Diagnosis (151)

Published on in Vol 3 (2024)

This is a member publication of University of Washington

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58398, first published .
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Smartphone Pupillometry and Machine Learning for Detection of Acute Mild Traumatic Brain Injury: Cohort Study

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

Authors of this article:

Anthony J Maxin1, 2 Author Orcid Image ;   Do H Lim1, 3 Author Orcid Image ;   Sophie Kush4 Author Orcid Image ;   Jack Carpenter5 Author Orcid Image ;   Rami Shaibani6 Author Orcid Image ;   Bernice G Gulek1 Author Orcid Image ;   Kimberly G Harmon7 Author Orcid Image ;   Alex Mariakakis8 Author Orcid Image ;   Lynn B McGrath4 Author Orcid Image ;   Michael R Levitt1, 3, 9, 10 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Maxin A, Whelan B, Levitt M, McGrath L, Harmon K. Smartphone-Based Pupillometry Using Machine Learning for the Diagnosis of Sports-Related Concussion. Diagnostics 2024;14(23):2723 View
  2. Mitschang D, Sydorenko V, Kühlwein D, Beynon C, Younsi A, Krieg S, Lenga P. Quantitative pupillometry as a sensitive biomarker for detecting subtle neurological impairment in mild traumatic brain injury – a pilot study. Neurological Sciences 2025;46(10):5243 View
  3. Nicol D, Patel M, Bhowmik D, Goldberg Oppenheimer P. Precision Diagnostics in Sports‐Related Traumatic Brain Injury: Pathophysiology, Biomarker Development and Emerging Technologies. Advanced Sensor Research 2025;4(12) View
  4. Zhang P, Qin L, Wang F, Wu P, Zhang L, Fang D, Zhao J, Yao Y, Zhao H. Diagnostic accuracy of blast-induced traumatic brain injury: a systematic review and meta-analysis. Frontiers in Neurology 2026;17 View