Utilising Natural Language Processing to Identify Brain Tumor Patients for Clinical Trials: Development and Initial Evaluation
NLP can be used effectively to extract brain tumor diagnoses from free-text EHR records with minimal additional training. The extracted concepts can then be linked to ongoing clinical trials. While further analysis is required to assess the impact on clinical outcomes, these findings suggest a potential application for integrating NLP algorithms into clinical care.
Authors
- Danyal Z. Khan (ORCID: https://orcid.org/0000-0001-9213-2550)
- Simon C. Williams (ORCID: https://orcid.org/0000-0003-1770-1797)
- Jonathan P. Funnell (ORCID: https://orcid.org/0000-0002-6150-6828)
- James Booker (ORCID: https://orcid.org/0000-0001-7588-2827)
- Nicola Newall (ORCID: https://orcid.org/0000-0001-8784-086X)
- Michael Kosmin (ORCID: https://orcid.org/0000-0001-5343-7175)
- Lewis W. Thorne (ORCID: https://orcid.org/0000-0002-7692-0378)
- Ciaran Scott Hill (ORCID: https://orcid.org/0000-0002-4488-4034)
- Richard Dobson (ORCID: https://orcid.org/0000-0003-4224-9245)
- Kawsar Noor (ORCID: https://orcid.org/0000-0003-0052-2573)
- Hani Joseph Marcus (ORCID: https://orcid.org/0000-0001-8000-392X)
- Thomas Searle (ORCID: https://orcid.org/0000-0001-8424-3218)
- Naomi Fersht
- Siddharth Sinha (ORCID: https://orcid.org/0000-0001-8758-1212)
- Jack Penn
Institutions
- University College London Hospitals NHS Foundation Trust (GB)
- South London and Maudsley NHS Foundation Trust (GB)
- National Institute for Health and Care Research (GB)
- King's College Hospital NHS Foundation Trust (GB)
- Wellcome / EPSRC Centre for Interventional and Surgical Sciences (GB)
- UCL Biomedical Research Centre (GB)
- National Hospital for Neurology and Neurosurgery (GB)
- University College London (GB)
Publication Details
- Journal
- World Neurosurgery
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1016/j.wneu.2025.123907
- Citations
- 2
- Primary Topic
- Brain Tumor Detection and Classification
- Type
- article
- Field-Weighted Citation Impact
- 1.68