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Artificial intelligence and machine learning driven segmentation and quantification models for brain arteriovenous malformations: A systematic review

  • Mehmet Denizhan Yurtluk
  • , Kishore Balasubramanian
  • , Matthew P. Blackwell
  • , Maryam Obaid
  • , Waseem Wahood
  • , Aaron A. Cohen-Gadol
  • , Tarek Y. El Ahmadieh
  • , Ali S. Haider

Research output: Contribution to journal › Review article › peer-review

Original languageEnglish
Pages (from-to)3495-3507
Number of pages13
JournalNeuroradiology
Volume67
Issue number12
DOIs
StatePublished - Dec 2025
Externally publishedYes

ASJC Scopus Subject Areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

Keywords

  • Arteriovenous Malformations
  • Artificial Intelligence
  • Detection
  • Machine Learning
  • Segmentation
  • Humans
  • Intracranial Arteriovenous Malformations/diagnostic imaging

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