Performance of an automated photoplethysmographybased artificial intelligence algorithm to detect atrial fibrillation (vol 1, pg 107, 2020)

被引：0
|
作者：
不详
机构：
来源：
CARDIOVASCULAR DIGITAL HEALTH JOURNAL | 2021年 / 2卷 / 02期
关键词：
D O I：
暂无
中图分类号：
R5 [内科学];
学科分类号：
1002 ; 100201 ;
摘要：
引用
收藏
页码：150 / 151
页数：2
相关论文
共 50 条
  • [41] Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation
    Gilberto J. Aquino
    Jordan Chamberlin
    Basel Yacoub
    Madison R. Kocher
    Ismail Kabakus
    Selcuk Akkaya
    Megan Mercer
    Jeffrey Waltz
    Matthew Fiegel
    Nathan Leaphart
    Athira Jacob
    Mehmet Akif Gulsun
    James Gilkes
    Joe Stephenson
    Puneet Sharma
    Pooyan Sahbaee
    Joseph Schoepf
    Stefan Zimmerman
    Michael E. Field
    Ali M. Agha
    Jeremy R. Burt
    European Radiology, 2022, 32 : 5256 - 5264
  • [42] Diagnostic accuracy and performance of artificial intelligence in measuring left atrial volumes and function on multiphasic CT in patients with atrial fibrillation
    Aquino, Gilberto J.
    Chamberlin, Jordan
    Yacoub, Basel
    Kocher, Madison R.
    Kabakus, Ismail
    Akkaya, Selcuk
    Mercer, Megan
    Waltz, Jeffrey
    Fiegel, Matthew
    Leaphart, Nathan
    Jacob, Athira
    Gulsun, Mehmet Akif
    Gilkes, James
    Stephenson, Joe
    Sharma, Puneet
    Sahbaee, Pooyan
    Schoepf, Joseph
    Zimmerman, Stefan
    Field, Michael E.
    Agha, Ali M.
    Burt, Jeremy R.
    EUROPEAN RADIOLOGY, 2022, 32 (08) : 5256 - 5264
  • [43] An artificial intelligence-enabled electrocardiogram algorithm for the prediction of left atrial low-voltage areas in persistent atrial fibrillation
    Tao, Yirao
    Zhang, Deyun
    Tan, Chen
    Wang, Yanjiang
    Shi, Liang
    Chi, Hongjie
    Geng, Shijia
    Ma, Zhimin
    Hong, Shenda
    Liu, Xing Peng
    JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, 2024, 35 (09) : 1849 - 1858
  • [44] The Role for Artificial Intelligence in Evaluation of Upper GI Cancer (vol 22, pg 66, 2020)
    Tada, Tomohiro
    TECHNIQUES AND INNOVATIONS IN GASTROINTESTINAL ENDOSCOPY, 2022, 24 (02): : 220 - 220
  • [45] Artificial intelligence in dentistry: current applications and future perspectives (vol 51, pg 248, 2020)
    Chen, Yo-wei
    Stanley, Kyle
    Att, Wael
    QUINTESSENCE INTERNATIONAL, 2020, 51 (05): : 430 - 430
  • [46] Automated classification of human atrial fibrillation from intraatrial electrograms (vol 2, pg 192, 2000)
    Barbaro, V
    Bartolini, P
    Calcagnini, G
    Morelli, S
    Michelucci, A
    Gensini, G
    PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 2000, 23 (04): : VIII - VIII
  • [47] Artificial Intelligence, Brains, and Beyond: Imperial College London Neurotechnology Symposium, 2020 (vol 2, pg 310, 2020)
    Tarasenko, Anna
    Oganesyan, Mikheil
    Ivaskevych, Daryna
    Tukaiev, Sergii
    Toleukhanov, Dauren
    Vysokov, Nickolai
    BIOELECTRICITY, 2020, 2 (04): : 426 - 426
  • [48] Left atrial remodeling: Assessment of size and shape to detect vulnerability to atrial fibrillation (vol 30, pg S147, 2007)
    Cozma, Dragos
    Popescu, Bogdan A.
    Lighezan, Dan
    Lucian, Petrescu
    Mornos, Cristian
    Ginghina, Carmen
    Dragulescu, Stefan-Iosif
    PACE-PACING AND CLINICAL ELECTROPHYSIOLOGY, 2007, 30 (11): : 1427 - 1427
  • [49] Catheter ablation of atrial fibrillation guided by complex fractionated atrial electrogram mapping of atrial fibrillation substrate (vol 55, pg 1, 2010)
    Nademanee, Koonlawee
    Lockwood, Evan
    Oketani, Naoya
    Gidney, Brett
    JOURNAL OF CARDIOLOGY, 2010, 55 (03) : 404 - 408
  • [50] Artificial Intelligence-Driven Algorithm for Drug Effect Prediction on Atrial Fibrillation: An in silico Population of Models Approach
    Sanchez de la Nava, Ana Maria
    Arenal, Angel
    Fernandez-Aviles, Francisco
    Atienza, Felipe
    FRONTIERS IN PHYSIOLOGY, 2021, 12
12345