Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis
Applying an LLM to publicly available patent and publication data provides a scalable way to quantify innovation in stroke. Pharmacological treatment appears to have entered a saturation phase, whereas AI methods, rehabilitation devices, and medical imaging remain in rapid growth, highlighting areas of greatest traction for future research and investment.
Authors
- Paul Bentley
- Daniel Rueckert
- Adam Marcus
- Georgina Lockwood-Taylor
Institutions
- King's College London (GB)
- TUM Klinikum (DE)
- Imperial College London (GB)
- Technical University of Munich (DE)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2026-01-20
- DOI
- https://doi.org/10.2196/70754
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00