• 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

Neural networks and deep learning: a brief introduction.

作者信息

Georgevici Adrian Iustin, Terblanche Marius

机构信息

Department of Anesthesiology and Intensive Care Medicine, Katholisches Klinikum, St. Josef Hospital, Ruhr University, Gudrunstr. 56, 44791, Bochum, Germany.

Department of Critical Care Medicine, St. Thomas' Hospital, Guy's & St. Thomas' NHS Foundation Trust, Westminster Bridge Road, London, SE1 7EH, UK.

出版信息

Intensive Care Med. 2019 May;45(5):712-714. doi: 10.1007/s00134-019-05537-w. Epub 2019 Feb 6.

DOI:10.1007/s00134-019-05537-w
PMID:30725133
Abstract
摘要

相似文献

1
Neural networks and deep learning: a brief introduction.神经网络与深度学习:简要介绍
Intensive Care Med. 2019 May;45(5):712-714. doi: 10.1007/s00134-019-05537-w. Epub 2019 Feb 6.
2
Artificial intelligence, machine learning, neural networks, and deep learning: Futuristic concepts for new dental diagnosis.人工智能、机器学习、神经网络和深度学习:用于新型牙科诊断的未来概念。
Quintessence Int. 2018;49(9):687-688. doi: 10.3290/j.qi.a41107.
3
Artificial Intelligence in Emergency Medicine: Surmountable Barriers With Revolutionary Potential.急诊医学中的人工智能:具有变革潜力的可克服障碍。
Ann Emerg Med. 2020 Jun;75(6):721-726. doi: 10.1016/j.annemergmed.2019.12.024. Epub 2020 Feb 21.
4
Artificial Intelligence and Radiology: Collaboration Is Key.人工智能与放射学:合作是关键。
J Am Coll Radiol. 2018 May;15(5):781-783. doi: 10.1016/j.jacr.2017.12.037. Epub 2018 Feb 2.
5
Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations.麻醉学中的人工智能:当前技术、临床应用及局限性。
Anesthesiology. 2020 Feb;132(2):379-394. doi: 10.1097/ALN.0000000000002960.
6
Artificial Intelligence in Clinical Neurosurgery: More than Machinery.临床神经外科中的人工智能:不止于机器。
World Neurosurg. 2021 May;149:302-303. doi: 10.1016/j.wneu.2021.02.057.
7
How Artificial Intelligence Will Change Medicine.人工智能将如何改变医学。
Nature. 2019 Dec;576(7787):S48. doi: 10.1038/d41586-019-03845-1.
8
[The future of AI in dermatology and of dermatology with AI].[人工智能在皮肤病学中的未来以及借助人工智能的皮肤病学的未来]
Ann Dermatol Venereol. 2020 May;147(5):331-333. doi: 10.1016/j.annder.2020.03.001. Epub 2020 Mar 30.
9
Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging.机器遇见生物学:人工智能在心脏病学和心脏成像中的应用入门。
Curr Cardiol Rep. 2018 Oct 18;20(12):139. doi: 10.1007/s11886-018-1074-8.
10
Realizing the Promise of Electronic Health Records: Moving Beyond "Paper on a Screen".实现电子健康记录的前景:超越“屏幕上的纸张”
Ophthalmology. 2019 Mar;126(3):331-334. doi: 10.1016/j.ophtha.2018.09.023.

引用本文的文献

1
Research progress on the depth of anesthesia monitoring based on the electroencephalogram.基于脑电图的麻醉深度监测研究进展
Ibrain. 2024 Dec 6;11(1):32-43. doi: 10.1002/ibra.12186. eCollection 2025 Spring.
2
Recent advances and applications of artificial intelligence in 3D bioprinting.人工智能在3D生物打印中的最新进展与应用
Biophys Rev (Melville). 2024 Jul 19;5(3):031301. doi: 10.1063/5.0190208. eCollection 2024 Sep.
3
Artificial Intelligence-Powered Mammography: Navigating the Landscape of Deep Learning for Breast Cancer Detection.

本文引用的文献

1
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.人工智能临床医生学习重症监护中脓毒症的最佳治疗策略。
Nat Med. 2018 Nov;24(11):1716-1720. doi: 10.1038/s41591-018-0213-5. Epub 2018 Oct 22.
2
Mapping Patient Trajectories using Longitudinal Extraction and Deep Learning in the MIMIC-III Critical Care Database.在MIMIC-III重症监护数据库中使用纵向提取和深度学习绘制患者轨迹
Pac Symp Biocomput. 2018;23:123-132.
3
Deep learning for healthcare: review, opportunities and challenges.深度学习在医疗保健领域的应用:综述、机遇与挑战。
人工智能助力的乳腺钼靶检查:探索用于乳腺癌检测的深度学习领域
Cureus. 2024 Mar 26;16(3):e56945. doi: 10.7759/cureus.56945. eCollection 2024 Mar.
4
Machine Learning Analysis Classifies Patients with Primary Angle-Closure Glaucoma Using Abnormal Brain White Matter Function.机器学习分析利用异常脑白质功能对原发性闭角型青光眼患者进行分类。
Clin Ophthalmol. 2024 Mar 7;18:659-670. doi: 10.2147/OPTH.S451872. eCollection 2024.
5
ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation.ECMO PAL:使用深度神经网络预测静脉-动脉体外膜肺氧合中的生存率。
Intensive Care Med. 2023 Sep;49(9):1090-1099. doi: 10.1007/s00134-023-07157-x. Epub 2023 Aug 7.
6
Machine Learning in Predicting Printable Biomaterial Formulations for Direct Ink Writing.用于预测直接墨水书写的可打印生物材料配方的机器学习
Research (Wash D C). 2023 Jul 18;6:0197. doi: 10.34133/research.0197. eCollection 2023.
7
A cardiologist's guide to machine learning in cardiovascular disease prognosis prediction.心脏病学家在心血管疾病预后预测中的机器学习指南。
Basic Res Cardiol. 2023 Mar 20;118(1):10. doi: 10.1007/s00395-023-00982-7.
8
Predicting non-attendance in hospital outpatient appointments using deep learning approach.使用深度学习方法预测医院门诊预约的爽约情况。
Health Syst (Basingstoke). 2021 May 24;11(3):189-210. doi: 10.1080/20476965.2021.1924085. eCollection 2022.
9
SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing.SMaSH:一种用于单细胞 RNA 测序的可扩展的通用标记基因识别框架。
BMC Bioinformatics. 2022 Aug 8;23(1):328. doi: 10.1186/s12859-022-04860-2.
10
Artificial intelligence and machine learning approaches using gene expression and variant data for personalized medicine.基于基因表达和变异数据的人工智能和机器学习方法在个性化医疗中的应用。
Brief Bioinform. 2022 Sep 20;23(5). doi: 10.1093/bib/bbac191.
Brief Bioinform. 2018 Nov 27;19(6):1236-1246. doi: 10.1093/bib/bbx044.
4
A Case Study on Sepsis Using PubMed and Deep Learning for Ontology Learning.一个利用PubMed和深度学习进行本体学习的脓毒症案例研究。
Stud Health Technol Inform. 2017;235:516-520.
5
Applications of Deep Learning in Biomedicine.深度学习在生物医学中的应用。
Mol Pharm. 2016 May 2;13(5):1445-54. doi: 10.1021/acs.molpharmaceut.5b00982. Epub 2016 Mar 29.