The role of large language models in self-care: a study and benchmark on medicines and supplement guidance accuracy

Given the high-quality output of large language models, their potential in self-care applications is undeniable. The newly created benchmark can facilitate further validation and guide the establishment of strict safeguards to combat the sizable risk of misinformation in order to reach a more favourable risk/benefit ratio when this cutting-edge technology is used by patients.

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Publication Details

Journal
International Journal of Clinical Pharmacy
Published
2024-12-07
DOI
https://doi.org/10.1007/s11096-024-01839-2
Citations
8
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.96
Controls
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article

The role of large language models in self-care: a study and benchmark on medicines and supplement guidance accuracy

Lynn Roth, Hans De Loof, Branco De Busser
8 citations
International Journal of Clinical Pharmacy
Artificial Intelligence in Healthcare and Education
0.96
article

The role of large language models in self-care: a study and benchmark on medicines and supplement guidance accuracy

Lynn Roth, Hans De Loof, Branco De Busser
article en
8 citations

Abstract

Given the high-quality output of large language models, their potential in self-care applications is undeniable. The newly created benchmark can facilitate further validation and guide the establishment of strict safeguards to combat the sizable risk of misinformation in order to reach a more favourable risk/benefit ratio when this cutting-edge technology is used by patients.

International Journal of Clinical PharmacyVol. 47(4)
University of Antwerp (BE)
Quality Education
Openalex Percentile: Top 22%
Artificial Intelligence in Healthcare and Education
0.96
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