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生成式人工智能与提示工程:骨科医生入门指南。

Generative Artificial Intelligence and Prompt Engineering: A Primer for Orthopaedic Surgeons.

机构信息

College of Medicine, University of Kentucky, Lexington, Kentucky.

Department of Orthopaedic Surgery and Sports Medicine, University of Kentucky, Lexington, Kentucky.

出版信息

JBJS Rev. 2024 Oct 3;12(10). doi: e24.00122. eCollection 2024 Oct 1.

Abstract

» Generative artificial intelligence (AI), a rapidly evolving field, has the potential to revolutionize orthopedic care by enhancing diagnostic accuracy, treatment planning, and patient management through data-driven insights and personalized strategies.» Unlike traditional AI, generative AI has the potential to generate relevant information for orthopaedic surgeons when instructed through prompts, automating tasks such as literature reviews, streamlining workflows, predicting health outcomes, and improving patient interactions.» Prompt engineering is essential for crafting effective prompts for large language models (LLMs), ensuring accurate and reliable AI-generated outputs, and promoting ethical decision-making in clinical settings.» Orthopaedic surgeons can choose between various prompt types-including open-ended, focused, and choice-based prompts-to tailor AI responses for specific clinical tasks to enhance the precision and utility of generated information.» Understanding the limitations of LLMs, such as token limits, context windows, and hallucinations, is crucial for orthopaedic surgeons to effectively use generative AI while addressing ethical concerns related to bias, privacy, and accountability.

摘要

生成式人工智能(AI)是一个快速发展的领域,通过数据驱动的见解和个性化策略,有潜力通过提高诊断准确性、治疗计划和患者管理来改变骨科护理。与传统 AI 不同,生成式 AI 具有在通过提示指令时为骨科医生生成相关信息的潜力,从而实现自动化任务,如文献综述、简化工作流程、预测健康结果和改善患者交互。提示工程对于为大型语言模型(LLM)编写有效的提示至关重要,以确保 AI 生成的输出准确可靠,并促进临床环境中的伦理决策。骨科医生可以选择各种提示类型,包括开放式、聚焦式和选择式提示,以针对特定的临床任务调整 AI 响应,从而提高生成信息的准确性和实用性。了解 LLM 的局限性,如令牌限制、上下文窗口和幻觉,对于骨科医生有效使用生成式 AI 同时解决与偏见、隐私和问责制相关的伦理问题至关重要。

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