Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Mar 16, 2024
Date Accepted: Jul 11, 2024
Practical Applications of Large Language Models for Healthcare Professionals and Scientists
ABSTRACT
With the popularization of Large Language Models (LLMs), strategies for their effective and safe utilization in healthcare and research become increasingly pertinent. Despite the growing interest and eagerness among healthcare professionals and scientists to exploit the potential of LLMs, initial attempts may yield suboptimal results due to a lack of user experience, thus complicating the integration of AI tools into workplace routine. This article showcases and discusses six LLM use cases of practical relevance for scientists and healthcare professionals. These encompass customizing translations, refining text and extracting information, generating comprehensive overviews and specialized insights, compiling ideas into cohesive narratives, crafting personalized educational materials, and facilitating intellectual sparring. Additionally, we discuss general prompting strategies and precautions for implementation of AI tools in biomedicine. Despite various challenges, the integration of LLMs into daily routines of physicians and researchers promises heightened workplace productivity and efficiency.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.