You are here

  • Home
  • Archive
  • Volume 15, Issue e1
  • Preprocedural determination of an occlusion pathomechanism in endovascular treatment of acute stroke: a machine learning-based decision

Article info

Article menu
Download PDFPDF
Ischemic stroke
Original research
Preprocedural determination of an occlusion pathomechanism in endovascular treatment of acute stroke: a machine learning-based decision

Authors

  • Jang-Hyun Baek Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Byung Moon Kim Interventional Neuroradiology, Department of Radiology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Dong Joon Kim Interventional Neuroradiology, Department of Radiology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Ji Hoe Heo Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Hyo Suk Nam Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Young Dae Kim Department of Neurology, Severance Stroke Center, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Myung Ho Rho Department of Radiology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Pil-Wook Chung Department of Neurology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Yu Sam Won Department of Neurosurgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  • Yeongu Chung Department of Neurosurgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Byung Moon Kim, Department of Radiology, Yonsei University College of Medicine, Seodaemun-gu, Seoul, Korea (the Republic of); bmoon21{at}hanmail.net
View Full Text

Citation

Baek J, Kim BM, Kim DJ, et al
Preprocedural determination of an occlusion pathomechanism in endovascular treatment of acute stroke: a machine learning-based decision
Journal of NeuroInterventional Surgery 2023;15:e2-e8.

Publication history

  • Received March 17, 2022
  • Accepted May 17, 2022
  • First published June 16, 2022.
Online issue publication 
August 29, 2023

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Copyright information

© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.