Journal article
Artificial Intelligence and Novel Trial Designs for Acute Ischemic Stroke: Opportunities and Challenges
Stroke (1970), Vol.57(1), pp.265-274
01/2026
DOI: 10.1161/STROKEAHA.125.052146
PMCID: PMC12695146
PMID: 41025236
Abstract
The Stroke Treatment Academic Industry Roundtable convened a workshop regarding artificial intelligence (AI) and innovative clinical trial designs during the Stroke Treatment Academic Industry Roundtable XIII meeting on March 28, 2025. This forum brought together stroke physicians and researchers, and industry representatives to discuss the current use and future opportunities for AI and novel trial designs in acute stroke trials. AI already plays a substantial role in the treatment of acute stroke with regards to imaging but is poised to have a much larger impact in clinical care and research trials over the coming years. The quality and understanding of the data are used to train the AI, the human element needed to ensure training is successful, and the clinician and trialist at the bedside, the humans in the loop, will be necessary to maximize AI's effectiveness in clinical practice and trials. Platform trials address multiple scientific questions in an area of medicine simultaneously within the same trial structure by sharing controls across multiple interventions. While platform trials increase efficiency and potentially decrease the time needed to answer important clinical scientific questions, they also can introduce complexity to standard workflows. Future acute ischemic stroke clinical trials should incorporate elements of pragmatic and patient-centered trial design when possible. Pragmatic trials aim to assess the effectiveness of treatments when they are implemented into routine clinical care rather than under idealized conditions. AI models and platform, pragmatic, and patient-centered trial designs are new tools to answer important clinical questions, but understanding how they work, their best uses, and their limitations is critical for accelerating successful new treatments for stroke.
Details
- Title: Subtitle
- Artificial Intelligence and Novel Trial Designs for Acute Ischemic Stroke: Opportunities and Challenges
- Creators
- Joseph P Broderick - University of CincinnatiEva A Mistry - University of CincinnatiPaul M Wechsler - University of CincinnatiMitchell S V Elkind - American Heart Association, National Center, Dallas, TX (M.S.V.E.)David S Liebeskind - University of California, Los AngelesGeorge Harston - University of OxfordJake Wolenberg - Imperative Care, San Jose, CA (J.W.)Jennifer A Frontera - Department of Neurology, NYU Grossman School of Medicine, New York, NY (J.A.F.)W Taylor Kimberly - Mass General BrighamChristopher G Favilla - University of PennsylvaniaJohannes Boltze - University of WarwickJohanna Ospel - University of CalgaryEdgar A Samaniego - Department of Neurology, Neurosurgery and Radiology, University of Iowa (E.A.S.)Opeolu Adeoye - Barnes-Jewish HospitalScott E Kasner - University of PennsylvaniaLee H Schwamm - Yale School of MedicineGregory W Albers - Stanford UniversityStroke Treatment Academic Industry Roundtable XIII Participants
- Resource Type
- Journal article
- Publication Details
- Stroke (1970), Vol.57(1), pp.265-274
- DOI
- 10.1161/STROKEAHA.125.052146
- PMID
- 41025236
- PMCID
- PMC12695146
- NLM abbreviation
- Stroke
- ISSN
- 1524-4628
- eISSN
- 1524-4628
- Publisher
- LIPPINCOTT WILLIAMS & WILKINS
- Grant note
- NINDS NIH HHS: U01 NS086872, OT2 NS129366
- Language
- English
- Electronic publication date
- 09/30/2025
- Date published
- 01/2026
- Academic Unit
- Neurology; Radiology; Iowa Neuroscience Institute; Neurosurgery
- Record Identifier
- 9984966699802771
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