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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.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
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.