• 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

Artificial intelligence, machine learning and health systems.

作者信息

Panch Trishan, Szolovits Peter, Atun Rifat

机构信息

Wellframe Inc., Boston, Massachusetts, USA.

Department of Electrical Engineering and Computer Science, Computer Science and Artificial Intelligence Laboratory, Massachussetts Institute of Technology, Cambridge, Massachusetts, USA.

出版信息

J Glob Health. 2018 Dec;8(2):020303. doi: 10.7189/jogh.08.020303.

DOI:10.7189/jogh.08.020303
PMID:30405904
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6199467/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89bf/6199467/a9e4875f7a35/jogh-08-020303-Fa.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89bf/6199467/a9e4875f7a35/jogh-08-020303-Fa.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/89bf/6199467/a9e4875f7a35/jogh-08-020303-Fa.jpg

相似文献

1
Artificial intelligence, machine learning and health systems.人工智能、机器学习与卫生系统。
J Glob Health. 2018 Dec;8(2):020303. doi: 10.7189/jogh.08.020303.
2
How Bioethics Can Shape Artificial Intelligence and Machine Learning.生物伦理学如何塑造人工智能和机器学习
Hastings Cent Rep. 2018 Sep;48(5):10-13. doi: 10.1002/hast.895.
3
[Artificial intelligence in healthcare: major potential for innovations in our health system].[医疗保健中的人工智能:我们医疗系统创新的重大潜力]
Soins. 2019 Sep;64(838):33-35. doi: 10.1016/j.soin.2019.06.006.
4
A Critical Review for Developing Accurate and Dynamic Predictive Models Using Machine Learning Methods in Medicine and Health Care.关于在医学与医疗保健领域使用机器学习方法开发准确且动态预测模型的批判性综述。
J Med Syst. 2017 Apr;41(4):69. doi: 10.1007/s10916-017-0715-6. Epub 2017 Mar 11.
5
Artificial intelligence and modern information and communication technologies entering medicine.人工智能与现代信息通信技术进入医学领域。
Cas Lek Cesk. 2019 Spring;158(2):87-91.
6
Artificial intelligence in healthcare: An essential guide for health leaders.医疗保健领域的人工智能:健康领域领导者必备指南。
Healthc Manage Forum. 2020 Jan;33(1):10-18. doi: 10.1177/0840470419873123. Epub 2019 Sep 24.
7
Safeguards for the use of artificial intelligence and machine learning in global health.全球卫生领域中人工智能和机器学习使用的保障措施。
Bull World Health Organ. 2020 Apr 1;98(4):282-284. doi: 10.2471/BLT.19.237099. Epub 2020 Jan 27.
8
From Machine Learning to Artificial Intelligence Applications in Cardiac Care.从机器学习到人工智能在心脏护理中的应用。
Circulation. 2018 Nov 27;138(22):2569-2575. doi: 10.1161/CIRCULATIONAHA.118.031734.
9
The Reply.回复。
Am J Med. 2020 Feb;133(2):e69. doi: 10.1016/j.amjmed.2019.10.012.
10
Benefits, Pitfalls, and Potential Bias in Health Care AI.医疗保健人工智能的益处、陷阱与潜在偏差
N C Med J. 2019 Jul-Aug;80(4):219-223. doi: 10.18043/ncm.80.4.219.

引用本文的文献

1
Performance of a national primary care chronic disease screening strategy in Chile: a mixed-methods analysis.智利国家初级保健慢性病筛查策略的实施情况:一项混合方法分析。
BMC Health Serv Res. 2025 Aug 20;25(1):1110. doi: 10.1186/s12913-025-13104-x.
2
Digital biomarkers and artificial intelligence: a new frontier in personalized management of inflammatory bowel disease.数字生物标志物与人工智能:炎症性肠病个性化管理的新前沿。
Front Immunol. 2025 Aug 4;16:1637159. doi: 10.3389/fimmu.2025.1637159. eCollection 2025.
3
Reinforcement Learning and Its Clinical Applications Within Healthcare: A Systematic Review of Precision Medicine and Dynamic Treatment Regimes.

本文引用的文献

1
Big Data and Machine Learning in Health Care.医疗保健中的大数据与机器学习
JAMA. 2018 Apr 3;319(13):1317-1318. doi: 10.1001/jama.2017.18391.
2
Deep learning based tissue analysis predicts outcome in colorectal cancer.基于深度学习的组织分析预测结直肠癌的预后。
Sci Rep. 2018 Feb 21;8(1):3395. doi: 10.1038/s41598-018-21758-3.
3
Deep Learning Algorithms for Detection of Lymph Node Metastases From Breast Cancer: Helping Artificial Intelligence Be Seen.用于检测乳腺癌淋巴结转移的深度学习算法:让人工智能发挥作用。
强化学习及其在医疗保健领域的临床应用:精准医学与动态治疗方案的系统综述
Healthcare (Basel). 2025 Jul 19;13(14):1752. doi: 10.3390/healthcare13141752.
4
Anthropometric Measurements for Predicting Low Appendicular Lean Mass Index for the Diagnosis of Sarcopenia: A Machine Learning Model.用于预测低四肢瘦体重指数以诊断肌肉减少症的人体测量学指标:一种机器学习模型
J Funct Morphol Kinesiol. 2025 Jul 17;10(3):276. doi: 10.3390/jfmk10030276.
5
A mixed methods formative evaluation of the United Kingdom National Health Service Artificial Intelligence Lab.对英国国家医疗服务体系人工智能实验室的混合方法形成性评估。
NPJ Digit Med. 2025 Jul 17;8(1):448. doi: 10.1038/s41746-025-01805-w.
6
Machine Learning in Primary Health Care: The Research Landscape.初级卫生保健中的机器学习:研究概况
Healthcare (Basel). 2025 Jul 7;13(13):1629. doi: 10.3390/healthcare13131629.
7
Perspectives of Health Care Professionals on the Use of AI to Support Clinical Decision-Making in the Management of Multiple Long-Term Conditions: Interview Study.医疗保健专业人员对使用人工智能支持多种慢性病管理中临床决策的看法:访谈研究
J Med Internet Res. 2025 Jul 4;27:e71980. doi: 10.2196/71980.
8
Discriminatory Performance of APACHE II Score and the Prediction of Mortality within the ICU in Patients with Sepsis Admitted to the ICU.急性生理学及慢性健康状况评分系统II(APACHE II)在入住重症监护病房(ICU)的脓毒症患者中的鉴别表现及ICU内死亡率预测
Mater Sociomed. 2025;37(2):153-158. doi: 10.5455/msm.2025.37.153-158.
9
Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms.气道管理中的新兴技术:插管机器人技术与解剖结构识别算法的叙述性综述
Biomed Eng Online. 2025 Jun 24;24(1):77. doi: 10.1186/s12938-025-01408-2.
10
AI Chatbots in Pediatric Orthopedics: How Accurate Are Their Answers to Parents' Questions on Bowlegs and Knock Knees?儿科骨科中的人工智能聊天机器人:它们对家长关于膝内翻和膝外翻问题的回答有多准确?
Healthcare (Basel). 2025 May 27;13(11):1271. doi: 10.3390/healthcare13111271.
JAMA. 2017 Dec 12;318(22):2184-2186. doi: 10.1001/jama.2017.14580.
4
Machine Learning Approaches in Cardiovascular Imaging.心血管成像中的机器学习方法
Circ Cardiovasc Imaging. 2017 Oct;10(10). doi: 10.1161/CIRCIMAGING.117.005614.
5
From Pharmacovigilance to Clinical Care Optimization.从药物警戒到临床护理优化。
Big Data. 2014 Sep 1;2(3):134-141. doi: 10.1089/big.2014.0008.
6
Transitioning health systems for multimorbidity.转变卫生系统以应对多种疾病并存的情况。
Lancet. 2015 Aug 22;386(9995):721-2. doi: 10.1016/S0140-6736(14)62254-6. Epub 2015 Jun 7.
7
Deep learning.深度学习。
Nature. 2015 May 28;521(7553):436-44. doi: 10.1038/nature14539.
8
Making big data useful for health care: a summary of the inaugural mit critical data conference.让大数据在医疗保健中发挥作用:首届麻省理工学院关键数据会议综述。
JMIR Med Inform. 2014 Aug 22;2(2):e22. doi: 10.2196/medinform.3447.
9
Universal health coverage in Turkey: enhancement of equity.土耳其的全民健康覆盖:增强公平性。
Lancet. 2013 Jul 6;382(9886):65-99. doi: 10.1016/S0140-6736(13)61051-X. Epub 2013 Jun 27.
10
Unraveling the IT productivity paradox--lessons for health care.解开信息技术生产力悖论——医疗保健领域的经验教训。
N Engl J Med. 2012 Jun 14;366(24):2243-5. doi: 10.1056/NEJMp1204980.