Application of Machine Learning in the Diagnosis and Prognosis of Mild Traumatic Brain Injury Using Diffusion Tensor Imaging: A Systematic Review

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Systematic review highlights machine learning's potential in improving diagnosis and prognosis of mild TBI using diffusion tensor imaging.

Machine learning approaches successfully classify mTBI patients from controls, enhancing diagnostic accuracy.
The study reviewed 36 articles assessing the utility of diffusion tensor imaging for diagnosing mild traumatic brain injury.
Observational analysis used diffusion tensor imaging metrics to explore machine learning applications in assessing mTBI.
Future research must focus on larger studies to validate machine learning models for practical clinical application.

Saludar et al. (2025) studied this question.

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Systematic review highlights machine learning's potential in improving diagnosis and prognosis of mild TBI using diffusion tensor imaging.