Obafunsho John Abiola on Muck Rack

Obafunsho John Abiola

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Articles

Feasibility and impact of a large language model pipeline for surgical trial abstracts

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By Obafunsho John Abiola, Dmitri Nepogodiev, James C Glasbey, Omar Omar, Cortland Linder, Virginia Ledda, Aneel Bhangu
| Nature Verified
Abstract Abstracts of surgical randomised controlled trials (RCTs) are widely read but often omit key methodological details despite CONSORT guidance. We evaluated whether a tightly constrained large language model (LLM) pipeline could improve completeness and readability at scale. We conducted a three-phase in silico study of consecutive surgical RCTs indexed in PubMed (2005–2025) with open-access full texts in PubMed Central.
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