Mobile Application Can Now Assist to Diagnose Arrhythmias with Collective Intelligence.
作者信息
Kim In Soo
机构信息
Division of Cardiology, Department of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
出版信息
Korean Circ J. 2021 Apr;51(4):358-359. doi: 10.4070/kcj.2021.0082.
Abstract
摘要
相似文献
1
Mobile Application Can Now Assist to Diagnose Arrhythmias with Collective Intelligence.移动应用程序如今可借助集体智慧协助诊断心律失常。
Korean Circ J. 2021 Apr;51(4):358-359. doi: 10.4070/kcj.2021.0082.
2
Understanding Collective Intelligence: Investigating the Role of Collective Memory, Attention, and Reasoning Processes.理解集体智慧：研究集体记忆、注意力和推理过程的作用。
Perspect Psychol Sci. 2024 Mar;19(2):344-354. doi: 10.1177/17456916231191534. Epub 2023 Aug 29.
3
Collective intelligence improves probabilistic diagnostic assessments.群体智能可提高概率诊断评估的准确性。
Diagnosis (Berl). 2023 Feb 20;10(2):158-163. doi: 10.1515/dx-2022-0090. eCollection 2023 May 1.
4
Comparison of Mobile Application-Based ECG Consultation by Collective Intelligence and ECG Interpretation by Conventional System in a Tertiary-Level Hospital.三级医院中基于集体智慧的移动应用心电图会诊与传统系统心电图解读的比较
Korean Circ J. 2021 Apr;51(4):351-357. doi: 10.4070/kcj.2020.0364.
5
Skin Lesion Classification Using Collective Intelligence of Multiple Neural Networks.利用多个神经网络的集体智能进行皮肤损伤分类。
Sensors (Basel). 2022 Jun 10;22(12):4399. doi: 10.3390/s22124399.
6
Cardiologist-level interpretable knowledge-fused deep neural network for automatic arrhythmia diagnosis.用于自动心律失常诊断的心脏病专家级可解释知识融合深度神经网络。
Commun Med (Lond). 2024 Feb 28;4(1):31. doi: 10.1038/s43856-024-00464-4.
7
The Insensitive Ruins It All: Compositional and Compilational Influences of Social Sensitivity on Collective Intelligence in Groups.麻木不仁毁了一切：社会敏感度对群体中集体智慧的构成性和编纂性影响
Front Psychol. 2016 May 9;7:676. doi: 10.3389/fpsyg.2016.00676. eCollection 2016.
8
Corrigendum: Comparison of Mobile Application-Based ECG Consultation by Collective Intelligence and ECG Interpretation by Conventional System in a Tertiary-Level Hospital.勘误：三级医院中基于集体智慧的移动应用心电图会诊与传统系统心电图解读的比较。
Korean Circ J. 2021 Jun;51(6):559. doi: 10.4070/kcj.2021.0998.
9
The network science of collective intelligence.集体智慧的网络科学。
Trends Cogn Sci. 2022 Nov;26(11):923-941. doi: 10.1016/j.tics.2022.08.009. Epub 2022 Sep 27.
10
A Simple Computational Theory of General Collective Intelligence.一般性群体智慧的简单计算理论
Top Cogn Sci. 2019 Apr;11(2):374-392. doi: 10.1111/tops.12341. Epub 2018 Jun 13.
本文引用的文献
1
Comparison of Mobile Application-Based ECG Consultation by Collective Intelligence and ECG Interpretation by Conventional System in a Tertiary-Level Hospital.三级医院中基于集体智慧的移动应用心电图会诊与传统系统心电图解读的比较
Korean Circ J. 2021 Apr;51(4):351-357. doi: 10.4070/kcj.2020.0364.
2
Deep learning and the electrocardiogram: review of the current state-of-the-art.深度学习与心电图：当前技术综述。
Europace. 2021 Aug 6;23(8):1179-1191. doi: 10.1093/europace/euaa377.
3
An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.一种基于人工智能的心电图算法，用于在窦性心律期间识别房颤患者：对结局预测的回顾性分析。
Lancet. 2019 Sep 7;394(10201):861-867. doi: 10.1016/S0140-6736(19)31721-0. Epub 2019 Aug 1.
4
Development and Validation of Deep-Learning Algorithm for Electrocardiography-Based Heart Failure Identification.基于心电图的心力衰竭识别深度学习算法的开发与验证
Korean Circ J. 2019 Jul;49(7):629-639. doi: 10.4070/kcj.2018.0446. Epub 2019 Mar 21.
5
Machine Learning in Medicine.医学中的机器学习
N Engl J Med. 2019 Apr 4;380(14):1347-1358. doi: 10.1056/NEJMra1814259.
6
Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.使用人工智能心电图筛查心脏收缩功能障碍。
Nat Med. 2019 Jan;25(1):70-74. doi: 10.1038/s41591-018-0240-2. Epub 2019 Jan 7.
7
Dermatologist-level classification of skin cancer with deep neural networks.基于深度神经网络的皮肤癌皮肤科医生级分类。
Nature. 2017 Feb 2;542(7639):115-118. doi: 10.1038/nature21056. Epub 2017 Jan 25.
8
Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.深度学习算法在视网膜眼底照片糖尿病视网膜病变检测中的开发与验证。
JAMA. 2016 Dec 13;316(22):2402-2410. doi: 10.1001/jama.2016.17216.
9
Collective intelligence meets medical decision-making: the collective outperforms the best radiologist.集体智慧与医学决策：集体表现优于最佳放射科医生。
PLoS One. 2015 Aug 12;10(8):e0134269. doi: 10.1371/journal.pone.0134269. eCollection 2015.
Zotero 插件