Health AI Central
Peer-Reviewed Publication
J Med Internet Res2026;28e70754.January 20, 2026Journal Article

Quantifying Innovation in Stroke: Large Language Model Bibliometric Analysis.

Adam Marcus1,2, Georgina Lockwood-Taylor3, Daniel Rueckert1,4, Paul Bentley2
1Department of Computing, Imperial College London, London, United Kingdom.
2Department of Medicine, Imperial College London, London, United Kingdom.
3Department of Psychology and Neuroscience, King's College London, London, United Kingdom.
4Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
PubMed PMC DOI PDF

Abstract

BACKGROUND: Thrombolysis and mechanical thrombectomy represent the most successful stroke innovations over the last 30 years. Quantifying innovation in stroke is essential for identifying productive research lines and prioritizing funding, but health care lacks validated methods for measuring innovation. OBJECTIVE: This study aimed to systematically evaluate the relationship between stroke-relate…

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