Evidence map›Paper›PMID 33657922›Full record

ArticleThe neuroradiology journal2021

Validation of an artificial intelligence-driven large vessel occlusion detection algorithm for acute ischemic stroke patients.

Ryan A Rava, Blake A Peterson, Samantha E Seymour, Kenneth V Snyder, Maxim Mokin, Muhammad Waqas, Yiemeng Hoi, Jason M Davies, Elad I Levy, Adnan H Siddiqui and 1 more

Abstract read
In one paragraph

Article in The neuroradiology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Observational
  2. Artificial intelligence for early diagnosis in emergency department.Journal of anesthesia, analgesia and critical care · 2026
    Review
  3. Current state and advancements of imaging in acute ischemic stroke: a practical review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Methinks AI software for identifying large vessel occlusion in non-contrast head CT: A pilot retrospective study in American population.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Research square · 2023
    Article
  16. Review
  17. Article
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  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ryan A RavaDepartment of Biomedical Engineering, University at Buffalo, USA.ORCID https://orcid.org/0000-0001-6456-8445
Blake A PetersonJacobs School of Medicine and Biomedical Sciences, USA.
Samantha E SeymourDepartment of Biomedical Engineering, University at Buffalo, USA.
Kenneth V SnyderCanon Stroke and Vascular Research Center, USA.
Maxim MokinDepartment of Neurosurgery, University of South Florida, USA.
Muhammad WaqasCanon Stroke and Vascular Research Center, USA.
Yiemeng HoiCanon Medical Systems USA Inc., USA.
Jason M DaviesCanon Stroke and Vascular Research Center, USA.
Elad I LevyCanon Stroke and Vascular Research Center, USA.
Adnan H SiddiquiCanon Stroke and Vascular Research Center, USA.
Ciprian N IonitaDepartment of Biomedical Engineering, University at Buffalo, USA.ORCID https://orcid.org/0000-0001-7049-0592

Funding

Institutional Career DevelopmentKL2TR001413 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI DUBOCOVICH, MARGARITA L · 2015 to 2024
$4.2M
Optimizing Approaches to Endovascular Therapy of Acute Ischemic StrokeR21NS109575 · NINDS · UNIVERSITY OF SOUTH FLORIDA · PI MOKIN, MAXIM · 2019 to 2019
$420k
NCATS NIH HHS KL2 TR001413NINDS NIH HHS R21 NS109575
6 · The paper itself

Abstract

Rapid and accurate diagnosis of large vessel occlusions (LVOs) in acute ischemic stroke (AIS) patients using automated software could improve clinical workflow in determining thrombectomy in eligible patients. Artificial intelligence-based methods could accomplish this; however, their performance in various clinical scenarios, relative to clinical experts, must be thoroughly investigated. We aimed to assess the ability of Canon's

Indexed as

Brain IschemiaIschemic StrokeStrokeAlgorithmsArtificial IntelligenceCerebral AngiographyHumansRetrospective StudiesArtificial intelligencebrainCT angiographyischemic stroke

Identifiers

PMID33657922
PMCPMC8559012

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.