生成式人工智能和及时工程:骨科医生入门》。

IF 1.7 Q2 SURGERY
JBJS Reviews Pub Date : 2024-10-03 eCollection Date: 2024-10-01 DOI:10.2106/JBJS.RVW.24.00122
Amber N Carroll, Lewis A Storms, Chaitu Malempati, Ridah V Shanavas, Sameer Badarudeen
{"title":"生成式人工智能和及时工程:骨科医生入门》。","authors":"Amber N Carroll, Lewis A Storms, Chaitu Malempati, Ridah V Shanavas, Sameer Badarudeen","doi":"10.2106/JBJS.RVW.24.00122","DOIUrl":null,"url":null,"abstract":"<p><p>» 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.</p>","PeriodicalId":47098,"journal":{"name":"JBJS Reviews","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Generative Artificial Intelligence and Prompt Engineering: A Primer for Orthopaedic Surgeons.\",\"authors\":\"Amber N Carroll, Lewis A Storms, Chaitu Malempati, Ridah V Shanavas, Sameer Badarudeen\",\"doi\":\"10.2106/JBJS.RVW.24.00122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>» 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.</p>\",\"PeriodicalId\":47098,\"journal\":{\"name\":\"JBJS Reviews\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-10-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JBJS Reviews\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2106/JBJS.RVW.24.00122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JBJS Reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2106/JBJS.RVW.24.00122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

摘要

"生成式人工智能(AI)是一个快速发展的领域,它通过数据驱动的洞察力和个性化策略提高诊断准确性、治疗规划和患者管理,从而有可能彻底改变骨科护理"。与传统人工智能不同,生成式人工智能有可能通过提示为骨科外科医生生成相关信息,实现文献回顾、简化工作流程、预测健康结果和改善患者互动等任务的自动化"。提示工程对于为大型语言模型(LLM)制作有效的提示、确保人工智能生成的输出准确可靠以及促进临床环境中的道德决策至关重要"。矫形外科医生可以在各种提示类型中进行选择,包括开放式提示、重点提示和基于选择的提示,从而针对特定临床任务定制人工智能响应,提高生成信息的准确性和实用性"。了解 LLM 的局限性(如标记限制、语境窗口和幻觉)对于骨科医生有效使用生成式人工智能,同时解决与偏见、隐私和责任相关的伦理问题至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generative Artificial Intelligence and Prompt Engineering: A Primer for Orthopaedic Surgeons.

» 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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JBJS Reviews
JBJS Reviews SURGERY-
CiteScore
4.40
自引率
4.30%
发文量
132
期刊介绍: JBJS Reviews is an innovative review journal from the publishers of The Journal of Bone & Joint Surgery. This continuously published online journal provides comprehensive, objective, and authoritative review articles written by recognized experts in the field. Edited by Thomas A. Einhorn, MD, and a distinguished Editorial Board, each issue of JBJS Reviews, updates the orthopaedic community on important topics in a concise, time-saving manner, providing expert insights into orthopaedic research and clinical experience. Comprehensive reviews, special features, and integrated CME provide orthopaedic surgeons with valuable perspectives on surgical practice and the latest advances in the field within twelve subspecialty areas: Basic Science, Education & Training, Elbow, Ethics, Foot & Ankle, Hand & Wrist, Hip, Infection, Knee, Oncology, Pediatrics, Pain Management, Rehabilitation, Shoulder, Spine, Sports Medicine, Trauma.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信