医学中的大型语言模型:当前医疗应用领域临床试验回顾。

PLOS digital health Pub Date : 2024-11-19 eCollection Date: 2024-11-01 DOI:10.1371/journal.pdig.0000662
Mahmud Omar, Girish N Nadkarni, Eyal Klang, Benjamin S Glicksberg
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引用次数: 0

摘要

本综述分析了目前研究大型语言模型(LLMs)在医疗保健领域应用的临床试验。我们确定了 27 项试验(5 项已发表,22 项正在进行中),涉及 4 个主要临床应用领域:患者护理、数据处理、决策支持和研究辅助。我们的分析揭示了 LLM 的多种用途,从临床文档到医疗决策。已发表的试验显示了前景,但也凸显了准确性方面的问题。正在进行的研究探索了病人教育和知情同意等新型应用。大多数试验发生在美国和中国。我们讨论了通过临床试验评估快速发展的 LLM 所面临的挑战,并找出了当前研究中存在的差距。本综述旨在为未来的研究提供信息,并指导将 LLMs 纳入临床实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large language models in medicine: A review of current clinical trials across healthcare applications.

This review analyzes current clinical trials investigating large language models' (LLMs) applications in healthcare. We identified 27 trials (5 published and 22 ongoing) across 4 main clinical applications: patient care, data handling, decision support, and research assistance. Our analysis reveals diverse LLM uses, from clinical documentation to medical decision-making. Published trials show promise but highlight accuracy concerns. Ongoing studies explore novel applications like patient education and informed consent. Most trials occur in the United States of America and China. We discuss the challenges of evaluating rapidly evolving LLMs through clinical trials and identify gaps in current research. This review aims to inform future studies and guide the integration of LLMs into clinical practice.

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