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Artificial Intelligence Tools for Sepsis and Cancer.

作者信息

Abbasi Jennifer

出版信息

JAMA. 2018 Dec 11;320(22):2303. doi: 10.1001/jama.2018.19383.

DOI:10.1001/jama.2018.19383
PMID:30535201
Abstract
摘要

相似文献

1
Artificial Intelligence Tools for Sepsis and Cancer.用于脓毒症和癌症的人工智能工具
JAMA. 2018 Dec 11;320(22):2303. doi: 10.1001/jama.2018.19383.
2
Artificial intelligence and medical decision making.人工智能与医学决策
Nebr Med J. 1987 May;72(5):147-8.
3
Application of artificial intelligence to the management of urological cancer.人工智能在泌尿生殖系统癌症管理中的应用。
J Urol. 2007 Oct;178(4 Pt 1):1150-6. doi: 10.1016/j.juro.2007.05.122. Epub 2007 Aug 14.
4
Artificial intelligence and medical decision-making: exploring challenges and opportunities.人工智能与医学决策:探索挑战与机遇
MD Comput. 1999 Sep-Oct;16(5):17-9.
5
Artificial intelligence and meaning--some philosophical aspects of decision-making.人工智能与意义——决策的一些哲学层面
Acta Biotheor. 2000 Dec;48(3-4):173-9. doi: 10.1023/a:1010234707103.
6
Artificial intelligence: a topic for MDM?人工智能:多学科诊疗的一个话题?
Med Decis Making. 1987 Jan-Mar;7(1):4. doi: 10.1177/0272989X8700700103.
7
[Caution in computer reliability. 4. Expert systems--artificial intelligence--computer critique].[计算机可靠性注意事项。4. 专家系统——人工智能——计算机评论]
Fortschr Med. 1990 Apr 30;108(13):71-5.
8
Expert systems and artificial intelligence in teaching and as decision-making support in radiology.专家系统与人工智能在放射学教学及决策支持中的应用
Rays. 1990 Jan-Mar;15(1):91-100.
9
Clinical management of sepsis can be improved by artificial intelligence: yes.人工智能可改善脓毒症的临床管理:的确如此。
Intensive Care Med. 2020 Feb;46(2):375-377. doi: 10.1007/s00134-019-05898-2. Epub 2019 Dec 13.
10
Clinical management of sepsis can be improved by artificial intelligence: no.人工智能无法改善脓毒症的临床管理:否。
Intensive Care Med. 2020 Feb;46(2):378-380. doi: 10.1007/s00134-020-05947-1. Epub 2020 Feb 3.

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Application of Artificial Intelligence in Discovery and Development of Anticancer and Antidiabetic Therapeutic Agents.人工智能在抗癌和抗糖尿病治疗药物发现与开发中的应用。
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Registered Trials on Artificial Intelligence Conducted in Emergency Department and Intensive Care Unit: A Cross-Sectional Study on ClinicalTrials.gov.在急诊科和重症监护病房进行的人工智能注册试验:ClinicalTrials.gov上的一项横断面研究
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Early detection of sepsis using artificial intelligence: a scoping review protocol.利用人工智能进行脓毒症早期检测:系统评价方案。
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Comparison of pediatric scoring systems for mortality in septic patients and the impact of missing information on their predictive power: a retrospective analysis.脓毒症患儿死亡评分系统的比较及缺失信息对其预测能力的影响:一项回顾性分析
PeerJ. 2020 Oct 5;8:e9993. doi: 10.7717/peerj.9993. eCollection 2020.