ArticleMayo Clinic proceedings. Innovations, quality & outcomes2025
Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network.
Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed.
- Prospective pilot evaluation of a deep learning model for kidney stone detection on CT using a web-based workflow platform.International urology and nephrology · 2026Article
- Telestroke systems and thrombolysis decisions: diagnostic uncertainty, treatment thresholds, and stroke mimics.Frontiers in neurology · 2026Review
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To explore the real-world impact of artificial intelligence-driven decision support imaging software for patients with acute ischemic stroke in a mature telestroke network in the United States. Patients and Methods: We conducted a prospective evaluation of stroke imaging support software in a robust, predominantly rural telestroke network (17 sites in Minnesota and Wisconsin). Data was collected from all patients who underwent video telestroke evaluation in a 3-month preimplementation period before installation of the software (from February 10, 2024 to May 9, 2024) and a 3-month postimplementation period while the software was in use (from May 10, 2024 to August 9, 2024). The preimplementation and postimplementation cohorts were directly compared (no control group included). Primary outcome measures were treatment rates and time to treatment (both treatment decision and delivery) for intravenous thrombolysis (IVT) and endovascular therapy (EVT); secondary outcomes included transfer rates, transfer times, and end user survey results. Results: Total of 444 telestroke cases were included in the preimplementation period, and 463 in the postimplementation period. Comparing preimplementation and postimplementation periods, the rate of IVT treatment delivery rose from 26.6% to 35.0% of potentially eligible patients ( Conclusion: This study reported a nonsignificant increase in treatment rates and a decrease in time to treatment decisions. Future trials with larger sample sizes are needed to validate the real-world benefits of decision support software for acute ischemic stroke in an established telestroke network.
Identifiers
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Registered trials
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