大脑从模拟到数字的演变:人工智能的诞生
George R Nahass1,2,3, Pravin K Patel3
1Illinois Ear and Eye Infirmary, University of Illinois Chicago.
The Journal of craniofacial surgery
|March 3, 2026
概括
人工智能 (AI) 和大型语言模型 (LLM) 正在改变整形手术. 虽然在文档和教育方面提供了好处,但由于潜在的AI限制,仔细验证至关重要.
科学领域:
- 人工智能 (AI) 和机器学习方面的进展.
- 专注于基于变压器的大型语言模型 (LLM) 及其功能.
背景情况:
- 机器学习从特征提取到深度表示学习的演变.
- 介绍变压器架构和概率性文本生成原理.
研究的目的:
- 审查目前LLMs在塑性和重建性外科手术中的应用.
- 为临床医生提供AI模型结构,培训和实际考虑的概述.
主要方法:
- 关于人工智能和医学LLM的最新文献的审查.
- 解释LLM架构和功能的基本原则.
- 新兴研究及其结果的总结.
主要成果:
- 在自动化文档,居民教育和患者沟通方面,LLM显得有前途.
- 确定的局限性包括AI幻觉,数据偏差以及严格验证的必要性.
- 目前的应用主要是在研究和开发阶段.
结论:
- 整形外科专业代表了一项重大进步,有可能影响整形外科实践.
- 临床医生必须意识到人工智能工具的好处和局限性.
- 未来的整合需要仔细考虑道德影响和验证协议.
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