AI-Based STroke Risk fActor Classification and Treatment (ABSTRACT) study
This protocol outlines ABSTRACT Phase I's approach to creating a multimodal stroke prediction model. We detail a data handling protocol compliant with UK ethical governance, along with our strategies for data pre-processing and model training.
Authors
- Megan Courtman (ORCID: https://orcid.org/0000-0002-8984-7798)
- Adam Streeter (ORCID: https://orcid.org/0000-0001-9921-2369)
- Michael Allen (ORCID: https://orcid.org/0000-0002-8746-9957)
- Stephen Mullin (ORCID: https://orcid.org/0000-0002-1936-394X)
- Lucy McGavin (ORCID: https://orcid.org/0000-0002-7784-7651)
- Mark DV Thurston
- William Heseltine-Carp (ORCID: https://orcid.org/0000-0003-3119-9983)
- Aishwarya Kasabe (ORCID: https://orcid.org/0000-0003-1934-9723)
- Emmanuel Ifeachor
- Hongrui Wang
Institutions
- University of Exeter (GB)
- St Lukes Hospital (GB)
- University of Plymouth (GB)
Publication Details
- Journal
- Stroke and Vascular Neurology
- Published
- 2026-02-23
- DOI
- https://doi.org/10.1136/svn-2024-003985
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- UK Research and Innovation
- National Institute for Health and Care Research
- Medical Research Council
- Engineering and Physical Sciences Research Council