PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 2, 2026Stroke

Abstract TP240: Artificial Intelligence Outperforms Radiologists in Detecting Aneurysm Growth

View Full Paper
Ask AI
Bookmark
Share

Authors

SSSarah J. SnyderSRSamantha RhodesMIMichael Iv

Discussion

Loading...

Member takes

Overview

Retrospective cohort study shows AI more accurately detects aneurysm growth in patients, indicating improved monitoring potential.

Key Points

  • To evaluate whether AI-based measurements can more accurately detect aneurysm growth compared to conventional methods by radiologists.
  • Retrospective cohort study of patients with unruptured intracranial aneurysms
  • Used serial CTA or MRA imaging from 2003 to 2024
  • Applied RAPID Aneurysm AI platform for segmentation and measurement
  • Compared percent change in maximum linear dimension with established criteria
  • Adjudicated discrepancies by an experienced neurointerventionalist.
  • 44 patients with 78 aneurysms included
  • RAPID detected growth in 27 out of 28 instances, while neuroradiology identified only 14
  • RAPID showed high sensitivity of 0.96 and specificity of 0.94
  • Neuroradiology had a sensitivity of 0.50 and specificity of 0.95
  • RAPID accurately identified 111 out of 118 stable measurements, just slightly less than neuroradiology's 112.

Cite This Study

Snyder et al. (2026) studied this question.

synapsesocial.com/papers/6980fd60c1c9540dea80f26bhttps://doi.org/10.1161/str.57.suppl_1.tp240
View Full Paper
Ask AI
Bookmark
Share