Eaves, Kristian, Zaitceva, Viktoriia, Lin, Ryan, Mills, Mackenzie and Kanavos, Panos ORCID: 0000-0001-9518-3089
(2025)
MSR17 A comparative assessment of LLM agreement for clinical data extraction tasks.
Value in Health, 28 (6, Supplement 1).
S277.
ISSN 1098-3015
Identification Number: 10.1016/j.jval.2025.04.1170
Abstract
AI tools are showing promise in data extraction tasks for SLRs, meta-analyses, and more. However, LLMs are known to “hallucinate” and different models have their own strengths and weaknesses. In this study we evaluate the comparative output of different LLM models when extracting clinical data from HTA reports.
Item Type: | Article |
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Additional Information: | © 2025 Published by Elsevier Inc. |
Divisions: | Health Policy |
Subjects: | R Medicine > RA Public aspects of medicine |
Date Deposited: | 17 Jul 2025 10:24 |
Last Modified: | 17 Jul 2025 10:27 |
URI: | http://eprints.lse.ac.uk/id/eprint/128860 |
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