Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Scoping Review.

Journal: World neurosurgery
Published Date:

Abstract

BACKGROUND AND OBJECTIVE: Preoperative neurosurgical planning is an important step in avoiding surgical complications, reducing morbidity, and improving patient safety. The incursion of machine learning (ML) in this domain has recently gained attention, given the notable advantages in processing large datasets and potentially generating efficient and accurate algorithms in patient care. We explored the evolving applications of ML algorithms in the preoperative planning of brain and spine surgery.

Authors

  • Jhon E Bocanegra-Becerra
    Academic Department of Surgery, School of Medicine, Universidad Peruana Cayetano Heredia, Lima, Peru. Electronic address: jhon.bocanegra.b@upch.pe.
  • Julia Sader Neves Ferreira
    Faculty of Medicine, Santo Amaro University, Brazil.
  • Gabriel Simoni
    Faculty of Medicine, Centro Universitário de Várzea Grande, Várzea Grande, Mato Grosso, Brazil.
  • Anthony Hong
    School of Medicine, University of Costa Rica, Costa Rica.
  • Wagner Rios-Garcia
    Sociedad Científica de Estudiantes de Medicina de Ica, Universidad Nacional San Luis Gonzaga, Ica, Peru.
  • Mohammad Mirahmadi Eraghi
    Student Research Committee, School of Medicine, Islamic Azad University, Qeshm International Branch, Qeshm, Iran.
  • Adriam M Castilla-Encinas
    Sociedad Científica de San Fernando, Universidad Nacional Mayor de San Marcos, Lima, Peru.
  • Jhair Alejandro Colan
    School of Medicine, University of Pittsburgh, Pennsylvania, USA.
  • Rolando Rojas-Apaza
    Department of Neurosurgery, Hospital Edgardo Rebagliati Martins. Essalud, Lima, Peru.
  • Emanuel Eduardo Franco Pariasca Trevejo
    Grupo de Inteligencia Artificial PUCP-IA-PUCP, Pontificia Universidad Católica del Peru (PUCP), Lima, Peru.
  • Raphael Bertani
    University of São Paulo, São Paulo, São Paulo , Brazil.
  • Miguel Angel Lopez-Gonzalez
    Department of Neurosurgery, Loma Linda University Medical Center, Loma Linda, California, USA.