Artificial intelligence in traumatic brain injury: Brain imaging analysis and outcome prediction: A mini review

doi:10.5492/wjccm.v14.i3.107611

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World Journal of Critical Care Medicine

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2220-3141

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Crit Care Med. Sep 9, 2025; 14(3): 107611
Published online Sep 9, 2025. doi: 10.5492/wjccm.v14.i3.107611

Artificial intelligence in traumatic brain injury: Brain imaging analysis and outcome prediction: A mini review

Luca Marino, Federico Bilotta

Luca Marino, Department of Mechanical and Aerospace Engineering, “Sapienza” University of Rome, Rome 00185, Italy

Federico Bilotta, Department of Anesthesiology, Critical Care and Pain Medicine, University of Rome “La Sapienza”, Rome 00185, Italy

Author contributions: Luca M performed writing the paper; Federico B designed the outline and supervised the writing of the paper

Conflict-of-interest statement: All authors declare that they have no competing interests.

Corresponding author: Federico Bilotta, MD, PhD, Professor, Department of Anesthesiology, Critical Care and Pain Medicine, University of Rome “La Sapienza”, Piazzale Aldo Moro 5, Rome 00185, Italy. federico.bilotta@uniroma1.it

Received: March 27, 2025
Revised: April 15, 2025
Accepted: May 24, 2025
Published online: September 9, 2025
Processing time: 114 Days and 1.3 Hours

Core Tip

Core Tip: Several reviews in the literature contributed to the role of Artificial Intelligence (AI) in medicine. However, this mini-review focuses of the potential role of AI in imaging analysis and outcome prediction of traumatic brain injury patients. Evidence of the latest results obtained with different AI-based technologies, in particular Machine learning and Deep learning algorithms, are provided.