大型语言模型在医学中的应用前景广阔

IF 12.4 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2024-11-27 DOI:10.1038/s41746-024-01344-w

Lars Riedemann, Maxime Labonne, Stephen Gilbert

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引用次数: 0

摘要

大语言模型（LLMs）越来越多地应用于医学文献，并被提议用于临床决策支持。我们认为，LLMs 在医学领域的未来必须基于透明、可控的开源模型。开放性使医疗工具开发人员能够控制底层人工智能模型的安全性和质量，同时也使医疗保健专业人员能够对这些模型负责。基于这些原因，未来是开放的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

The path forward for large language models in medicine is open

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The path forward for large language models in medicine is open

Large language models (LLMs) are increasingly applied in medical documentation and have been proposed for clinical decision support. We argue that the future for LLMs in medicine must be based on transparent and controllable open-source models. Openness enables medical tool developers to control the safety and quality of underlying AI models, while also allowing healthcare professionals to hold these models accountable. For these reasons, the future is open.

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.