Automated Vessel Occlusion Software in Acute Ischemic Stroke: Pearls and Pitfalls

  • Yasmin N. Aziz
  • , Aakanksha Sriwastwa
  • , Kambiz Nael
  • , Pablo Harker
  • , Eva A. Mistry
  • , Pooja Khatri
  • , Arindam R. Chatterjee
  • , Jeremy J. Heit
  • , Ashutosh Jadhav
  • , Vivek Yedavalli
  • , Achala S. Vagal

Research output: Contribution to journalReview articlepeer-review

Abstract

Software programs leveraging artificial intelligence to detect vessel occlusions are now widely available to aid in stroke triage. Given their proprietary use, there is a surprising lack of information regarding how the software works, who is using the software, and their performance in an unbiased real-world setting. In this educational review of automated vessel occlusion software, we discuss emerging evidence of their utility, underlying algorithms, real-world diagnostic performance, and limitations. The intended audience includes specialists in stroke care in neurology, emergency medicine, radiology, and neurosurgery. Practical tips for onboarding and utilization of this technology are provided based on the multidisciplinary experience of the authorship team.

Original languageEnglish
Pages (from-to)2810-2818
Number of pages9
JournalStroke
Volume56
Issue number9
DOIs
StatePublished - Sep 1 2025

Keywords

  • arterial occlusive diseases
  • artificial intelligence
  • neurologists
  • stroke
  • thrombectomy

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