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聊天GPT从一个学术口腔和牙面部放射学家的角度

Sonam Khurana¹, Anusha Vaddi²

¹Oral Pathology, Radiology, and Medicine, New York University (NYU) College of Dentistry, New York, USA.

|July 10, 2023

概括

聊天生成预训练变压器 (ChatGPT),一个人工智能聊天机器人,在口腔和面放射学 (OMFR) 中显示出承诺,用于报告生成和回答问题等任务. 然而,其目前的局限性包括无法解释图像和缺乏内容有效性.

科学领域:

人工智能在牙科中的应用
口腔和面放射学 (OMFR) 是一个专业的专业.
自然语言处理应用程序

背景情况:

像ChatGPT这样的先进AI工具的整合到专业医疗领域正在迅速发展.
口腔和面放射学 (OMFR) 为人工智能驱动的应用提供了独特的机会和挑战.
了解当前人工智能聊天机器人的能力和局限性对于学术环境至关重要.

研究的目的:

探索ChatGPT在学术口腔和上面部放射学 (OMFR) 中的潜在应用.
在OMFR背景下识别ChatGPT当前的局限性.
为OMFR提供AI聊天机器人在科学写作和教育中的实用性概述.

主要方法:

审查ChatGPT在与OMFR相关的文本生成和问答方面的能力.
分析快速工程在调整ChatGPT用于OMFR任务中的作用.
在临床学术环境中对人工智能产生的内容有效性和局限性的评估.

主要成果:

聊天GPT可以帮助生成OMFR文档,并回答非基于图像的多选题.
存在重大挑战,特别是基于图像的诊断问题.
人工智能生成的内容需要仔细验证,不能取代人类的专业知识或著作权.

结论:

聊天GPT为OMFR的学术任务提供了潜在的好处,包括内容创建和教育支持.
当前的人工智能模型具有固有的局限性,特别是在图像解释方面,限制了它们在OMFR中的自主使用.
负责任的整合需要承认人工智能的作用是工具,而不是作者,强调内容验证.

关键词:

聊天聊天聊天牙科教育牙科教育口面部放射学口面部放射学放射学报告放射学报告科学论文科学论文

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