Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Validation of an Automated ASPECTS Software via a Multi-Reader Multi-Case Clinical Reader Study.

Rotem Golan1, Kauê T N Duarte2, Chris C Duszynski2

  • 1From the Circle Cardiovascular Imaging Inc. (R.G., C.C.D., L.A.S.M.N.), Calgary, AB, Canada; Department of Clinical Neurosciences (K.T.N.D., B.K.M.), Hotchkiss Brain Institute (K.T.N.D., B.K.M.), Department of Clinical Neurosciences (B.K.M.), Cumming School of Medicine and Department of Community Health Sciences (B.K.M.), University of Calgary, Calgary, AB, Canada. rotem.golan@circlecvi.com.

AJNR. American Journal of Neuroradiology
|June 29, 2026
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predictors and Consequences of Serious Adverse Events in Patients Treated With Thrombolysis: A Prespecified Secondary Analysis of the AcT Trial.

Journal of the American Heart Association·2026
Same author

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne·2026
Same author

Association of 24-Hour Computed Tomography Infarct Density on Functional Outcomes in Stroke: Secondary Analysis From the AcT Trial.

Journal of the American Heart Association·2026
Same author

Systematic Review of Large Language Models and Natural Language Processing in Stroke Care: Applications, Challenges, and Future Directions.

Stroke (Hoboken, N.J.)·2026
Same author

Effect of time on reperfusion in acute ischemic stroke treated with thrombolysis within the 4.5-hour window: a secondary analysis of the AcT Trial.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association·2026
Same author

TAPIS: a positive trial in a defined phenotype.

Lancet (London, England)·2026
Same journal

CT-Guided Epidural Blood Patch for Postoperative Lumbar Cerebrospinal Fluid Leak: A Case Series and Clinical Outcomes.

AJNR. American journal of neuroradiology·2026
Same journal

Clinical Outcomes of Isolated Subarachnoid Hemorrhage after Mechanical Thrombectomy.

AJNR. American journal of neuroradiology·2026
Same journal

Gender Trends in Authorship Across Neuroradiology Journals (2016-2025).

AJNR. American journal of neuroradiology·2026
Same journal

Outcomes of Endovascular Treatment in Large Vessel Occlusions Due to Intracranial Atherosclerotic Disease: A Systematic Review and Updated Meta-Analysis of 11,326 Patients.

AJNR. American journal of neuroradiology·2026
Same journal

Quantitative Impact of T1 Subtraction Maps on Enhancing Component Delineation and Measured Volumes in Minimally Enhancing Pediatric Brain Tumors.

AJNR. American journal of neuroradiology·2026
Same journal

Out of the Reading Room: The Case for Patient-Facing Neuroradiology in Spinal CSF Leak Care.

AJNR. American journal of neuroradiology·2026
See all related articles
This summary is machine-generated.

StrokeSENS ASPECTS, an AI tool, significantly improves early ischemic change detection in acute ischemic stroke patients. It enhances accuracy and reduces variability among clinicians interpreting non-contrast CT scans.

Area of Science:

  • Radiology
  • Artificial Intelligence
  • Neurology

Background:

  • Early detection of ischemic changes on non-contrast CT is crucial for acute ischemic stroke (AIS) patient triage.
  • Interpreting non-contrast CT scans for early ischemic changes (EIC) is challenging due to low contrast and reader variability.

Purpose of the Study:

  • To validate StrokeSENS ASPECTS, an AI tool for automated grading of EIC on NCCT.
  • To assess the impact of StrokeSENS ASPECTS on clinician performance and inter-reader agreement.

Main Methods:

  • A multi-reader, multi-case study involving eight clinicians evaluating 100 NCCT scans.
  • Clinicians interpreted scans unaided and aided by StrokeSENS ASPECTS.
  • Performance was measured using binary classification metrics and inter-reader agreement (Fleiss's kappa).

Related Experiment Videos

Main Results:

  • StrokeSENS ASPECTS improved balanced accuracy by 5.7%, overall accuracy by 2.6%, sensitivity by 9.7%, and specificity by 1.6%.
  • Inter-reader agreement significantly increased, with Fleiss's kappa rising from 0.323 (unaided) to 0.608 (aided).

Conclusions:

  • StrokeSENS ASPECTS enhances clinicians' ability to detect EIC on NCCT.
  • The AI tool effectively reduces inter-reader variability, demonstrating safety and effectiveness for AIS evaluation.