Feasibility of Using Large Language Models for Structured Medication Extraction from Clinical Text: A Comparative Analysis of Zero-Shot and Few-Shot Paradigms.

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Title: Feasibility of Using Large Language Models for Structured Medication Extraction from Clinical Text: A Comparative Analysis of Zero-Shot and Few-Shot Paradigms.
Authors: Schulte, Evan1, Abusharkh, Mohamed1,2, mohamedabusharkh@ferris.edu, Dahal, Kushal1,2, Klepser, Michael2, Sohn, Minji2
Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2300, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
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  Data: Feasibility of Using Large Language Models for Structured Medication Extraction from Clinical Text: A Comparative Analysis of Zero-Shot and Few-Shot Paradigms.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Mar2026, Vol. 16 Issue 5, p2300, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=192636078
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        Value: 10.3390/app16052300
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        Text: English
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      – TitleFull: Feasibility of Using Large Language Models for Structured Medication Extraction from Clinical Text: A Comparative Analysis of Zero-Shot and Few-Shot Paradigms.
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              Text: Mar2026
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              Y: 2026
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