1
Return

Future Directions and Evolution Strategies for the Clinical Management of Traumatic Brain Injury

delete2026-08-13
delete0
delete
OA
AI
A
Adam J. Wells *
A
Abhiram Hiwase
I
Ivan Timofeev
P
Peter J. Hutchinson
DOI:10.3390/jcm15166236delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
The management of traumatic brain injury remains one of the greatest challenges in modern medicine. Determining whom to treat, when to intervene, and how aggressively to proceed and persist continues to define the central dilemma of neurotrauma care. While the injured brain possesses only limited regenerative capacity, substantial opportunity remains to mitigate the cascade of secondary brain injury. Previous technological and scientific advances have progressively challenged the therapeutic nihilism historically associated with severe neurotrauma, and the accelerating pace of innovation is invigorating efforts to push the boundaries of care. Contemporary neurotrauma research increasingly seeks to reduce the incidence of injury through prevention, enable ultra-early diagnosis and intervention, biologically subclassify heterogeneous injury patterns, and integrate multimodal neuromonitoring into precision-guided therapeutic strategies. Advances in artificial intelligence, computational modelling, imaging, biomarker science, and neurocritical care now build upon decades of foundational work established by prior generations of clinicians and scientists. Together, these developments may enable increasingly individualised approaches to neurotrauma management, with the aim of preserving meaningful neurological function, quality of life, and human potential on a global scale. Although many challenges remain, modern neurotrauma increasingly stands at the threshold of such transformation. This narrative review explores the emerging technologies, evolving paradigms, and future directions that may shape the next era of neurotrauma care.
Keywords:
traumatic brain injury
clinical management
neurocritical care
neuromonitoring
neuroprotection
artificial intelligence
machine learning

Journal

Journal of Clinical Medicine cover
Journal of Clinical Medicine
IF:
2.9
Papers:
5.0W
Citations:
9.8W

Organization

C
Cambridge University Hospital NHS Foundation Trust
Scholars:
16
Papers: 13
Citations: 0
R
Royal Adelaide Hospital
Scholars:
3.4K
Papers: 2.7K
Citations: 3.0K
Cited Papers

Cited Papers

Citing Papers

Citing Papers