• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

人工智能、机器学习、深度学习和认知计算:这些术语是什么意思,它们将如何影响医疗保健?

Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?

机构信息

Department of Orthopaedics, University of California, San Francisco, San Francisco, California.

出版信息

J Arthroplasty. 2018 Aug;33(8):2358-2361. doi: 10.1016/j.arth.2018.02.067. Epub 2018 Feb 27.

DOI:10.1016/j.arth.2018.02.067
PMID:29656964
Abstract

This article was presented at the 2017 annual meeting of the American Association of Hip and Knee Surgeons to introduce the members gathered as the audience to the concepts behind artificial intelligence (AI) and the applications that AI can have in the world of health care today. We discuss the origin of AI, progress to machine learning, and then discuss how the limits of machine learning lead data scientists to develop artificial neural networks and deep learning algorithms through biomimicry. We will place all these technologies in the context of practical clinical examples and show how AI can act as a tool to support and amplify human cognitive functions for physicians delivering care to increasingly complex patients. The aim of this article is to provide the reader with a basic understanding of the fundamentals of AI. Its purpose is to demystify this technology for practicing surgeons so they can better understand how and where to apply it.

摘要

本文在 2017 年美国髋关节和膝关节外科医师协会年会上发表,旨在向与会成员介绍人工智能 (AI) 的相关概念及其在当今医疗保健领域的应用。我们将讨论 AI 的起源、机器学习的进展,然后讨论机器学习的局限性如何促使数据科学家通过仿生学开发人工神经网络和深度学习算法。我们将把所有这些技术放在实际临床示例的背景下,并展示 AI 如何作为一种工具,为为日益复杂的患者提供治疗的医生提供支持和增强人类认知功能。本文的目的是为读者提供对 AI 基础知识的基本了解。其目的是为了让外科医生了解这项技术,以便他们能够更好地理解如何以及在何处应用它。

相似文献

1
Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?人工智能、机器学习、深度学习和认知计算:这些术语是什么意思,它们将如何影响医疗保健?
J Arthroplasty. 2018 Aug;33(8):2358-2361. doi: 10.1016/j.arth.2018.02.067. Epub 2018 Feb 27.
2
Artificial intelligence in medical imaging of the liver.人工智能在肝脏医学影像中的应用。
World J Gastroenterol. 2019 Feb 14;25(6):672-682. doi: 10.3748/wjg.v25.i6.672.
3
Machine learning in medicine: what clinicians should know.机器学习在医学中的应用:临床医生应该了解的知识。
Singapore Med J. 2023 Feb;64(2):91-97. doi: 10.11622/smedj.2021054. Epub 2021 May 19.
4
Applications of Artificial Intelligence in Cardiology. The Future is Already Here.人工智能在心脏病学中的应用。未来已来。
Rev Esp Cardiol (Engl Ed). 2019 Dec;72(12):1065-1075. doi: 10.1016/j.rec.2019.05.014. Epub 2019 Oct 12.
5
Machine Learning and Deep Learning in Medical Imaging: Intelligent Imaging.医学成像中的机器学习与深度学习:智能成像
J Med Imaging Radiat Sci. 2019 Dec;50(4):477-487. doi: 10.1016/j.jmir.2019.09.005. Epub 2019 Oct 7.
6
How Cognitive Machines Can Augment Medical Imaging.认知机器如何增强医学成像。
AJR Am J Roentgenol. 2019 Jan;212(1):9-14. doi: 10.2214/AJR.18.19914. Epub 2018 Nov 13.
7
The current state of artificial intelligence in ophthalmology.人工智能在眼科学中的应用现状。
Surv Ophthalmol. 2019 Mar-Apr;64(2):233-240. doi: 10.1016/j.survophthal.2018.09.002. Epub 2018 Sep 22.
8
The use of artificial intelligence, machine learning and deep learning in oncologic histopathology.人工智能、机器学习和深度学习在肿瘤组织病理学中的应用。
J Oral Pathol Med. 2020 Oct;49(9):849-856. doi: 10.1111/jop.13042. Epub 2020 Jun 15.
9
Introduction to Machine Learning, Neural Networks, and Deep Learning.机器学习、神经网络和深度学习导论。
Transl Vis Sci Technol. 2020 Feb 27;9(2):14. doi: 10.1167/tvst.9.2.14.
10
Artificial Intelligence in Nuclear Cardiology.人工智能在核心脏病学中的应用。
Cardiol Clin. 2023 May;41(2):151-161. doi: 10.1016/j.ccl.2023.01.004. Epub 2023 Feb 20.

引用本文的文献

1
A fairness scale for real-time recidivism forecasts using a national database of convicted offenders.一种利用全国罪犯数据库进行实时累犯预测的公平性量表。
Neural Comput Appl. 2025;37(26):21607-21657. doi: 10.1007/s00521-025-11478-x. Epub 2025 Aug 1.
2
Type 2 Diabetes Prediction Model in China: A Five-Year Systematic Review.中国2型糖尿病预测模型:一项为期五年的系统综述。
Healthcare (Basel). 2025 Aug 15;13(16):2007. doi: 10.3390/healthcare13162007.
3
Study on the Evaluation of Hip Dysplasia by Measuring the Lateral Center-Edge Angle of Hip Joint on X-Ray Using Deep Learning Algorithm.
基于深度学习算法利用X线测量髋关节外侧中心边缘角评估髋关节发育不良的研究
Int J Gen Med. 2025 Aug 20;18:4563-4569. doi: 10.2147/IJGM.S533748. eCollection 2025.
4
Predicting onset of myopic refractive error in children using machine learning on routine pediatric eye examinations only.仅通过对常规儿科眼部检查使用机器学习来预测儿童近视屈光不正的发病情况。
Sci Rep. 2025 Aug 17;15(1):30055. doi: 10.1038/s41598-025-13990-5.
5
Diagnosis of non-puerperal mastitis based on "whole tongue" features: non-invasive biomarker mining and diagnostic model construction.基于“全舌”特征的非产褥期乳腺炎诊断:非侵入性生物标志物挖掘与诊断模型构建
Front Cell Infect Microbiol. 2025 Jul 28;15:1602883. doi: 10.3389/fcimb.2025.1602883. eCollection 2025.
6
Construction and validation of a machine learning algorithm-based predictive model for difficult colonoscopy insertion.基于机器学习算法的困难结肠镜插入预测模型的构建与验证
World J Gastrointest Endosc. 2025 Jul 16;17(7):108307. doi: 10.4253/wjge.v17.i7.108307.
7
Emerging Techniques of Translational Research in Immuno-Oncology: A Focus on Non-Small Cell Lung Cancer.免疫肿瘤学转化研究的新兴技术:聚焦非小细胞肺癌
Cancers (Basel). 2025 Jul 4;17(13):2244. doi: 10.3390/cancers17132244.
8
The Role of Artificial Intelligence and Machine Learning Applications in Emergency Surgery: A Systematic Review of Diagnostic Accuracy and Clinical Outcomes.人工智能和机器学习应用在急诊手术中的作用:诊断准确性和临床结果的系统评价
Cureus. 2025 Jun 5;17(6):e85386. doi: 10.7759/cureus.85386. eCollection 2025 Jun.
9
Perspectives of physicians, nurses, and patients on the use of artificial intelligence and robotic nurses in healthcare.医生、护士和患者对医疗保健中人工智能和机器人护士使用的看法。
Int Nurs Rev. 2025 Jun;72(2):e70017. doi: 10.1111/inr.70017.
10
Nursing Students' Attitudes Toward Artificial Intelligence: Palestinian Perspectives.护生对人工智能的态度:巴勒斯坦视角
SAGE Open Nurs. 2025 May 15;11:23779608251343297. doi: 10.1177/23779608251343297. eCollection 2025 Jan-Dec.