AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review
- DOI
- 10.2196/87794
- Published
- 2026-09-10
- Container
- JMIR AI
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/87794,
title = {AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review},
author = {Vu-Thu-Nguyet Pham and Irini Logothetis and Prasanthan Thaveenthiran and Simon Vajda and Rondhir Jithoo and Joseph Mathew and Kon Mouzakis},
year = {2026},
journal = {JMIR AI},
doi = {10.2196/87794},
url = {https://doi.org/10.2196/87794}
}RIS
TY - JOUR TI - AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review AU - Vu-Thu-Nguyet Pham AU - Irini Logothetis AU - Prasanthan Thaveenthiran AU - Simon Vajda AU - Rondhir Jithoo AU - Joseph Mathew AU - Kon Mouzakis PY - 2026 JO - JMIR AI DO - 10.2196/87794 UR - https://doi.org/10.2196/87794 ER -
APA
Pham, V., Logothetis, I., Thaveenthiran, P., Vajda, S., Jithoo, R., Mathew, J., & Mouzakis, K. (2026). AI-Based Approaches for the Identification and Quantification of Traumatic Brain Injury in Computed Tomography Imaging: Systematic Review. JMIR AI. https://doi.org/10.2196/87794
Source records
- crossref · retrieved 2026-09-25T10:09:10.569Z