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Updated: May 25, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship
Daniele Roberto Giacobbe1,2, Cristina Marelli3, Bianca La Manna4
1Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy. danieleroberto.giacobbe@unige.it.
Abstract:
Antibiotic prescribing requires balancing optimal treatment for patients with reducing antimicrobial resistance. There is a lack of standardization in research on using large language models (LLMs) for supporting antibiotic prescribing, necessitating more efforts to identify biases and misinformation in their outputs. Educating future medical professionals on these aspects is crucial for ensuring the proper use of LLMs for supporting antibiotic prescribing, providing a deeper understanding of their strengths and limitations.
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