The Role of Artificial Intelligence in Enabling Medical Research

IF 1.4 4区 医学 Q2 EMERGENCY MEDICINE
Ryan P. Radecki
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引用次数: 0

Abstract

Artificial intelligence (AI), specifically technology based on large language models (LLMs), is rapidly emerging as a versatile adjunct in medical research. Applications of LLMs include preparation for research, literature review and citation screening. There is evidence LLMs are capable of performing significant portions of meta-research, such as systematic reviews and meta-analyses. Other applications could include identification of clinical trial participants, aiding in the collection of informed consent, and extraction of information from unstructured clinical text. Rapid improvement in the reliability and capability of LLMs will only increase potential utility.

Abstract Image

人工智能在医学研究中的作用。
人工智能(AI),特别是基于大型语言模型(llm)的技术,正在迅速成为医学研究的多功能辅助工具。法学硕士的应用包括研究准备、文献综述和引文筛选。有证据表明,法学硕士能够执行元研究的重要部分,如系统综述和元分析。其他应用可能包括识别临床试验参与者,帮助收集知情同意,以及从非结构化临床文本中提取信息。llm可靠性和能力的快速提高只会增加潜在的效用。
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来源期刊
Emergency Medicine Australasia
Emergency Medicine Australasia 医学-急救医学
CiteScore
3.70
自引率
13.00%
发文量
217
审稿时长
6-12 weeks
期刊介绍: Emergency Medicine Australasia is the official journal of the Australasian College for Emergency Medicine (ACEM) and the Australasian Society for Emergency Medicine (ASEM), and publishes original articles dealing with all aspects of clinical practice, research, education and experiences in emergency medicine. Original articles are published under the following sections: Original Research, Paediatric Emergency Medicine, Disaster Medicine, Education and Training, Ethics, International Emergency Medicine, Management and Quality, Medicolegal Matters, Prehospital Care, Public Health, Rural and Remote Care, Technology, Toxicology and Trauma. Accepted papers become the copyright of the journal.
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