Usefulness of Artificial Intelligence in Traumatic Brain Injury: A Bibliometric Analysis and Mini-review.

Journal: World neurosurgery
PMID: 38759786

Abstract

BACKGROUND: Traumatic brain injury (TBI) has become a major source of disability worldwide, increasing the interest in algorithms that use artificial intelligence (AI) to optimize the interpretation of imaging studies, prognosis estimation, and critical care issues. In this study we present a bibliometric analysis and mini-review on the main uses that have been developed for TBI in AI.

Authors

  • Maria José Uparela-Reyes
    Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia; Neurosurgery Section, Hospital Universitario del Valle, Cali, Colombia. Electronic address: maria.uparela@correounivalle.edu.co.
  • Lina María Villegas-Trujillo
    Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia; School of Biomedical Sciences, Universidad del Valle, Cali, Colombia.
  • Jorge Cespedes
    Comprehensive Epilepsy Center, Yale University, New Haven, Connecticut, USA.
  • Miguel Velásquez-Vera
    Neurosurgery Section, School of Medicine, Universidad del Valle, Cali, Colombia; Neurosurgery Section, Hospital Universitario del Valle, Cali, Colombia.
  • Andres M Rubiano
    Neurosciences Institute, El Bosque University, Bogota, Colombia.

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