AI Article Synopsis
- The paper examines the current and potential uses of Large Language Models (LLMs) in medical informatics, focusing on clinical and anatomic pathology.
- It highlights various considerations for using LLMs in healthcare, including identifying suitable applications and assessing their benefits and drawbacks.
- The discussion also covers essential infrastructure, education, security, bias, privacy concerns, and the necessity for a strong framework to navigate regulatory and legal issues related to LLMs in clinical settings.
Article Abstract
In this paper, we consider the current and potential role of the latest generation of Large Language Models (LLMs) in medical informatics, particularly within the realms of clinical and anatomic pathology. We aim to provide a thorough understanding of the considerations that arise when employing LLMs in healthcare settings, such as determining appropriate use cases and evaluating the advantages and limitations of these models. Furthermore, this paper will consider the infrastructural and organizational requirements necessary for the successful implementation and utilization of LLMs in healthcare environments. We will discuss the importance of addressing education, security, bias, and privacy concerns associated with LLMs in clinical informatics, as well as the need for a robust framework to overcome regulatory, compliance, and legal challenges.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10582733 | PMC |
| http://dx.doi.org/10.1016/j.jpi.2023.100338 | DOI Listing |
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