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大型语言模型的临床和外科应用:系统性审查

Sophia M Pressman¹, Sahar Borna¹, Cesar A Gomez-Cabello¹

¹Division of Plastic Surgery, Mayo Clinic, Jacksonville, FL 32224, USA.

Journal of clinical medicine

|June 19, 2024

概括

大型语言模型 (LLM) 可以帮助临床医生和外科医生完成日常任务,如诊断和手术规划. 这些人工智能工具可以增强,但不能取代医疗保健专业人员的专业知识.

科学领域:

人工智能在医学中的应用
人工智能的临床应用.
手术技术的进步手术技术的进步

背景情况:

大型语言模型 (LLM) 是一个重要的AI进步,具有多样化的医疗应用.
在临床和外科实践中LLMs的整合正在迅速发展.
最近的文献强调了医疗保健中对LLM日益增长的兴趣.

研究的目的:

审查目前的临床医生和外科医生的LLM应用.
确定LLM如何在日常医疗和外科环境中实际使用.
综合对各种医学专业的LLM实用性的发现.

主要方法:

系统审查遵循系统审查和元分析 (PRISMA) 准则的首选报告项目.
在六个数据库中对相关文章进行全面搜索.
纳入标准侧重于LLMs的主要临床和外科应用.

主要成果:

在2023年发表的34篇文章从最初的333个结果中满足了资格标准.
审查的文献包括原始研究,信件,采访和评论.
应用涵盖了许多医学专业,包括各种外科手术子专业.

结论:

法律学士证明了改善医疗保健提供和效率的巨大潜力.
临床应用包括诊断,治疗指导,分组,知识增强和行政支持.
手术应用涉及文档,规划和手术内指导,强调LLM作为补充工具.

关键词:

聊天GPT 聊天在GPT 聊天人工智能 (AI) 是一种人工智能.深度学习是一种深度学习.诊断诊断诊断诊断诊断诊断机器学习是机器学习.管理的管理管理的管理.在外科手术专业.

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