Summarizing clinical evidence utilizing large language models for cancer treatments: a blinded comparative analysis
BackgroundConcise synopses of clinical evidence support treatment decision-making but are time-consuming to curate. Large language models (LLMs) offer potential but they may provide inaccurate information. We objectively assessed the abilities of four commercially available LLMs to generate synopses...
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| Main Authors: | Samuel Rubinstein, Aleenah Mohsin, Rahul Banerjee, Will Ma, Sanjay Mishra, Mary Kwok, Peter Yang, Jeremy L. Warner, Andrew J. Cowan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
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| Series: | Frontiers in Digital Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fdgth.2025.1569554/full |
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