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大型语言模型:一个入门和胃肠病学应用程序

Omer Shahab¹, Bara El Kurdi², Aasma Shaukat^3,4

¹Division of Gastroenterology, Department of Medicine, VHC Health, Arlington, VA, USA.

Therapeutic advances in gastroenterology

|February 23, 2024

概括

大型语言模型 (LLM) 为医疗保健提供先进的人工智能 (AI). 本综述指导胃肠科医生在临床实践,教育和研究中安全使用LLM.

科学领域:

人工智能在医学中的应用
临床信息学临床信息学
胃肠病学创新创新胃肠病学

背景情况:

像ChatGPT这样的大型语言模型 (LLM) 代表了人工智能 (AI) 的重大进步.
这些模型可以生成高质量的文本,而不需要广泛的特定任务培训或复杂的工程.
法律学显示出有可能彻底改变临床工作流程,患者的治疗结果,医学教育和研究.

研究的目的:

为胃肠科医生提供对LLMs的实际理解.
突出LLM的技术基础,优势,局限性和安全使用.
探索LLM在胃肠病学中的潜在应用和实施障碍.

主要方法:

审查当前最先进的LLM及其能力.
讨论LLM的技术基础,专注于临床医生的实际方面.
探索临床胃肠病学,教育和研究中的用例.
分析实施挑战和正在进行的解决方案.

主要成果:

LLM提供了强大的文本生成功能,适用于各种医疗任务.
与LLM的有效和安全互动需要了解它们的优点和局限性.
潜在的应用范围包括临床决策支持,医疗文档,患者教育和研究加速.

结论:

在消化肠病学实践,教育和研究中,LLM具有变革性的潜力.
了解LLM技术对于临床医生积极参与其开发和实施至关重要.
解决实施障碍是实现LLM在医疗保健中的全部好处的关键.

关键词:

聊天GPT 聊天在GPT 聊天人工智能的人工智能是人工智能.大型语言模型.机器学习是机器学习.

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