Artificial intelligence in cerebral cavernous malformations: a scoping review.

Journal: Neurological research
Published Date: Sep 24, 2025

Abstract

OBJECTIVES: Artificial Intelligence (AI) and Machine Learning (ML) are increasingly being applied in medical research, including studies on cerebral cavernous malformations (CCM). This scoping review aims to analyze the scope and impact of AI in CCM, focusing on diagnostic tools, risk assessment, biomarker identification, outcome prediction, and treatment planning. METHODS: We conducted a comprehensive literature search across different databases, reviewing articles that explore AI applications in CCM. Articles were selected based on predefined eligibility criteria and categorized according to their primary focus: drug discovery, diagnostic imaging, genetic analysis, biomarker identification, outcome prediction, and treatment planning. RESULTS: Sixteen studies met the inclusion criteria, showcasing diverse AI applications in CCM. Nearly half (47%) were cohort or prospective studies, primarily focused on biomarker discovery and risk prediction. Technical notes and diagnostic studies accounted for 27%, concentrating on computer-aided diagnosis (CAD) systems and drug screening. Other studies included a conceptual review on AI for surgical planning and a systematic review confirming ML's superiority in predicting clinical outcomes within neurosurgery. DISCUSSION: AI applications in CCM show significant promise, particularly in enhancing diagnostic accuracy, risk assessment, and surgical planning. These advancements suggest that AI could transform CCM management, offering pathways to improved patient outcomes and personalized care strategies.

Authors

  • Alejandro N Santos
    Department of Neurosurgery, Royal Adelaide Hospital, Adelaide, Australia.
  • Vigneshwar Venkatesh
    Department of Neurosurgery, Royal Adelaide Hospital, Adelaide, Australia.
  • Seevakan Chidambaram
    Department of Neurosurgery, Royal Adelaide Hospital, Adelaide, Australia.
  • Guilherme Piedade Santos
    Department of Neurosurgery, Miller School of Medicine, University of Miami, Miami, USA.
  • Bashar Dawoud
    Department of Neurosurgery, Miller School of Medicine, University of Miami, Miami, USA.
  • Laurèl Rauschenbach
    DKFZ Division of Translational Neurooncology at the West German Cancer Center (WTZ), German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Essen, Germany.
  • Anis Choucha
    Department of Neurosurgery, Aix Marseille Univ, APM, UH Timone, Marseille, France.
  • Safiye Bingöl
    Department of Neurosurgery, University Hospitals of the Ruhr-University of Bochum, Bochum, Germany.
  • Tamara Wipplinger
    Department of Neurosurgery, Mayo Clinic, Rochester, USA.
  • Christoph Wipplinger
    Department of Neurosurgery, Mayo Clinic, Rochester, USA.
  • Adrian M Siegel
    Department of Neurology, University of Zurich, Zurich, Switzerland.
  • Philipp Dammann
    Department of Neurosurgery and Spine Surgery, University Hospital Essen, Essen, Germany.
  • Amal Abou-Hamden
    Royal Adelaide Hospital, South Australia, Australia; University of Adelaide, South Australia, Australia.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals