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Large language models for highlighting trial patients in MDT

Badenoch, Thomas
Oliver-Blaney, Ciara
Date
2025-05
Type
Conference Abstract
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Abstract
Recruitment of patients for national trials is a common part of breast cancer care across the UK. Units recruit for multiple trials simultaneously, and there is variability in the availability of dedicated time. Screening can be a work intensive process with multiple inclusion and exclusion criteria to assess. Large language models (LLMs) can process large volumes of information and deliver response to queries on specific parameters more quickly than humans can.
Citation
Badenoch, T., & Oliver-Blaney, C. (2025). Large language models for highlighting trial patients in MDT. European Journal of Surgical Oncology, 51(Supplement), Article 109926. https://doi.org/10.1016/j.ejso.2025.109926
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