• 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

相似文献

1
Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines.机器学习与人工智能：在探寻机器智能行为之路上的两位同行者。
Front Big Data. 2018 Nov 19;1:6. doi: 10.3389/fdata.2018.00006. eCollection 2018.
2
Clinical applications and performance of intelligent systems in dental and maxillofacial radiology: A review.智能系统在口腔颌面放射学中的临床应用与性能：综述
Imaging Sci Dent. 2020 Jun;50(2):81-92. doi: 10.5624/isd.2020.50.2.81. Epub 2020 Jun 18.
3
[Role of artificial intelligence in the diagnosis and treatment of gastrointestinal diseases].[人工智能在胃肠疾病诊断与治疗中的作用]
Zhonghua Wei Chang Wai Ke Za Zhi. 2020 Jan 25;23(1):33-37. doi: 10.3760/cma.j.issn.1671-0274.2020.01.006.
4
Artificial Intelligence and Machine Learning to Predict Student Performance during the COVID-19.人工智能与机器学习用于预测新冠疫情期间的学生表现。
Procedia Comput Sci. 2021;184:835-840. doi: 10.1016/j.procs.2021.03.104. Epub 2021 May 18.
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
The role of soft computing in intelligent machines.软计算在智能机器中的作用。
Philos Trans A Math Phys Eng Sci. 2003 Aug 15;361(1809):1749-80. doi: 10.1098/rsta.2003.1223.
7
Artificial intelligence and machine learning | applications in musculoskeletal physiotherapy.人工智能和机器学习 | 在肌肉骨骼物理治疗中的应用。
Musculoskelet Sci Pract. 2019 Feb;39:164-169. doi: 10.1016/j.msksp.2018.11.012. Epub 2018 Nov 23.
8
Neuroscience-Inspired Artificial Intelligence.神经科学启发的人工智能。
Neuron. 2017 Jul 19;95(2):245-258. doi: 10.1016/j.neuron.2017.06.011.
9
Artificial intelligence: A joint narrative on potential use in pediatric stem and immune cell therapies and regenerative medicine.人工智能：关于其在儿科干细胞与免疫细胞疗法及再生医学中潜在应用的联合叙述。
Transfus Apher Sci. 2018 Jun;57(3):422-424. doi: 10.1016/j.transci.2018.05.004. Epub 2018 May 9.
10
Machine Learning Principles for Radiology Investigators.机器学习原理在放射学研究中的应用
Acad Radiol. 2020 Jan;27(1):13-25. doi: 10.1016/j.acra.2019.07.030.

引用本文的文献

1
Sequential EXtreme Gradient Boosting-Based Descriptor Reduction for Size Prediction of Zwitterionic Polymer-Based Nanoparticles.基于顺序极端梯度提升的两性离子聚合物基纳米颗粒尺寸预测的描述符约简
ACS Omega. 2025 Jul 31;10(31):35146-35160. doi: 10.1021/acsomega.5c04425. eCollection 2025 Aug 12.
2
Applications of artificial intelligence-enabled robots and chatbots in ophthalmology: recent advances and future trends.人工智能驱动的机器人和聊天机器人在眼科学中的应用：最新进展和未来趋势。
Curr Opin Ophthalmol. 2024 May 1;35(3):238-243. doi: 10.1097/ICU.0000000000001035. Epub 2024 Jan 22.
3
Personalized ECG monitoring and adaptive machine learning.个性化心电图监测和自适应机器学习。
J Electrocardiol. 2024 Jan-Feb;82:131-135. doi: 10.1016/j.jelectrocard.2023.12.006. Epub 2023 Dec 13.
4
Application of digital-intelligence technology in the processing of Chinese materia medica.数字智能技术在中药加工中的应用
Front Pharmacol. 2023 Aug 24;14:1208055. doi: 10.3389/fphar.2023.1208055. eCollection 2023.
5
Machine learning predictive model for aspiration screening in hospitalized patients with acute stroke.用于急性脑卒中住院患者吸入筛查的机器学习预测模型。
Sci Rep. 2023 May 15;13(1):7835. doi: 10.1038/s41598-023-34999-8.
6
Development and validation of an educational software based in artificial neural networks for training in radiology (JORCAD) through an interactive learning activity.通过交互式学习活动开发并验证一款基于人工神经网络的放射学培训教育软件（JORCAD）。
Heliyon. 2023 Mar 22;9(4):e14780. doi: 10.1016/j.heliyon.2023.e14780. eCollection 2023 Apr.
7
Yearning for machine learning: applications for the classification and characterisation of senescence.渴望机器学习：应用于衰老的分类和特征描述。
Cell Tissue Res. 2023 Oct;394(1):1-16. doi: 10.1007/s00441-023-03768-4. Epub 2023 Apr 5.
8
Cooktop Sensing Based on a YOLO Object Detection Algorithm.基于 YOLO 对象检测算法的炉灶感应。
Sensors (Basel). 2023 Mar 3;23(5):2780. doi: 10.3390/s23052780.
9
Determining asthma endotypes and outcomes: Complementing existing clinical practice with modern machine learning.确定哮喘表型和结局：用现代机器学习方法补充现有临床实践。
Cell Rep Med. 2022 Dec 20;3(12):100857. doi: 10.1016/j.xcrm.2022.100857.
10
Machine Learning and Deep Learning in Cardiothoracic Imaging: A Scoping Review.心胸成像中的机器学习与深度学习：一项范围综述
Diagnostics (Basel). 2022 Oct 17;12(10):2512. doi: 10.3390/diagnostics12102512.

本文引用的文献

1
Data Programming: Creating Large Training Sets, Quickly.数据编程：快速创建大型训练集。
Adv Neural Inf Process Syst. 2016 Dec;29:3567-3575.
2
Mastering the game of Go without human knowledge.无需人类知识即可掌握围棋游戏。
Nature. 2017 Oct 18;550(7676):354-359. doi: 10.1038/nature24270.
3
Mastering the game of Go with deep neural networks and tree search.用深度神经网络和树搜索掌握围棋游戏。
Nature. 2016 Jan 28;529(7587):484-9. doi: 10.1038/nature16961.
4
Machine learning: Trends, perspectives, and prospects.机器学习：趋势、观点和展望。
Science. 2015 Jul 17;349(6245):255-60. doi: 10.1126/science.aaa8415.
5
Deep learning.深度学习。
Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.

Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines.

作者信息

Kersting Kristian

机构信息

Machine Learning Lab, CS Department and Centre for Cognitive Science, Darmstadt University of Technology, Darmstadt, Germany.

出版信息

Front Big Data. 2018 Nov 19;1:6. doi: 10.3389/fdata.2018.00006. eCollection 2018.

DOI:10.3389/fdata.2018.00006
PMID:33693322
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7931929/
Abstract
摘要