Machine Learning in Neuroimaging of Traumatic Brain Injury: Current Landscape, Research Gaps, and Future Directions

Machine Learning in Neuroimaging of Traumatic Brain Injury: Current Landscape, Research Gaps, and Future Directions

In this narrative review, we explore the evolving role of machine learning (ML) in the diagnosis, prognosis, and clinical management of traumatic brain injury (TBI). The increasing prevalence of TBI necessitates advanced techniques for timely and accurate diagnosis, and ML offers promising tools to...

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Bibliographic Details
Main Authors: Kevin Pierre, Jordan Turetsky, Abheek Raviprasad, Seyedeh Mehrsa Sadat Razavi, Michael Mathelier, Anjali Patel, Brandon Lucke-Wold
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Trauma Care
Subjects:
traumatic brain injury
machine learning
neuroimaging
artificial intelligence
computed tomography
emergency radiology
Online Access:https://www.mdpi.com/2673-866X/4/1/4

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https://www.mdpi.com/2673-866X/4/1/4

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