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Introduction The continuous advancement of artificial intelligence (AI) and large language models (LLMs) has presented several opportunities for librarians to reduce their workload and become more efficient. AI chatbots previously generated responses by relying on pre-trained, large-scale data. Newer versions of chatbots have made substantial strides in their capabilities, now offering the ability to search online and supplement outputs using Retrieval-Augment Generation (RAG) to provide more accurate and relevant responses. These advancements present a promising opportunity for librarians to reduce workload and increase efficiency [1, 2]. To explore the potential of generative AI chatbots in assisting health sciences librarians with collection development, we evaluated five generative AI chatbots using two prompts designed to aid librarians. The five generative AI chatbots assessed included ChatGPT o3, NotebookLM, Google Gemini 2.5, Perplexity, and Microsoft Copilot…
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AHFS Drug Information(R) 2025 contains the most dependable drug information available - all in one place. It is the most comprehensive evidence-based source of drug information complete with ... |
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Healthcare in the United States: Clinical, Financial, and Operational Dimensions offers a comprehensive examination of the US healthcare system and its development, addressing various challenges ... |
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"To help shape the library collection, library directors should…take advantage of collection development tools such as Doody’s Core Titles." (emphasis added)
Dexter N, Muellenbach JM, Lorbeer ER, Rand D, Wilcox ME, Long BA. Building new twenty-first century medical school libraries from the ground up: challenges, experiences, and lessons learned. J Med Libr Assoc. 2019 Jan;107(1):6-15. DOI
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Doody's Core Titles® is one of three distinct services aimed at the library community and offered by Doody
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We regularly update the Doody's Core Titles ® web site when eBook versions, reviews, or information about forthcoming or new editions of titles in DCT 2024. This month we feature:
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