Artificial intelligence for early atrial fibrillation detection

被引:1
|
作者
Fabritz, Larissa [1 ,2 ,3 ,4 ,5 ]
Obergassel, Julius [1 ,2 ,3 ]
机构
[1] Univ Med Ctr Hamburg Eppendorf, Univ Ctr Cardiovasc Sci, D-20253 Hamburg, Germany
[2] Univ Med Ctr Hamburg Eppendorf, Univ Heart & Vasc Ctr Hamburg, Dept Cardiol, D-20253 Hamburg, Germany
[3] German Ctr Cardiovasc Res, Partner Site Hamburg Kiel Lubeck, Lubeck, Germany
[4] Atrial Fibrillat Network, Munster, Germany
[5] Univ Birmingham, Inst Cardiovasc Sci, Birmingham, W Midlands, England
来源
LANCET | 2022年 / 400卷 / 10359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:1173 / 1175
页数:4
相关论文
共 50 条
  • [1] Artificial Intelligence for the Detection and Treatment of Atrial Fibrillation
    Harmon, David M.
    Sehrawat, Ojasav
    Maanja, Maren
    Wight, John
    Noseworthy, Peter A.
    [J]. ARRHYTHMIA & ELECTROPHYSIOLOGY REVIEW, 2023, 12
  • [2] Artificial intelligence and atrial fibrillation
    Sehrawat, Ojasav
    Kashou, Anthony H.
    Noseworthy, Peter A.
    [J]. JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, 2022, 33 (08) : 1932 - 1943
  • [3] Artificial Intelligence Methods Applied to Parameter Detection of Atrial Fibrillation
    Arotaritei, D.
    Rotariu, C.
    [J]. INTERNATIONAL CONFERENCE ON BIO-MEDICAL INSTRUMENTATION AND RELATED ENGINEERING AND PHYSICAL SCIENCES (BIOMEP 2015), 2015, 637
  • [4] The Application of Artificial Intelligence in Atrial Fibrillation Patients: From Detection to Treatment
    Liang, Hanyang
    Zhang, Han
    Wang, Juan
    Shao, Xinghui
    Wu, Shuang
    Lyu, Siqi
    Xu, Wei
    Wang, Lulu
    Tan, Jiangshan
    Wang, Jingyang
    Yang, Yanmin
    [J]. REVIEWS IN CARDIOVASCULAR MEDICINE, 2024, 25 (07)
  • [5] Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation
    Cai Wu
    Maxwell Hwang
    Tian-Hsiang Huang
    Yen-Ming J. Chen
    Yiu-Jen Chang
    Tsung-Han Ho
    Jian Huang
    Kao-Shing Hwang
    Wen-Hsien Ho
    [J]. BMC Bioinformatics, 22
  • [6] Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation
    Wu, Cai
    Hwang, Maxwell
    Huang, Tian-Hsiang
    Chen, Yen-Ming J.
    Chang, Yiu-Jen
    Ho, Tsung-Han
    Huang, Jian
    Hwang, Kao-Shing
    Ho, Wen-Hsien
    [J]. BMC BIOINFORMATICS, 2021, 22 (SUPPL 5)
  • [7] Artificial intelligence-based detection of atrial fibrillation from chest radiographs
    Matsumoto, Toshimasa
    Ehara, Shoichi
    Walston, Shannon L.
    Mitsuyama, Yasuhito
    Miki, Yukio
    Ueda, Daiju
    [J]. EUROPEAN RADIOLOGY, 2022, 32 (09) : 5890 - 5897
  • [8] Artificial intelligence-based detection of atrial fibrillation from chest radiographs
    Toshimasa Matsumoto
    Shoichi Ehara
    Shannon L. Walston
    Yasuhito Mitsuyama
    Yukio Miki
    Daiju Ueda
    [J]. European Radiology, 2022, 32 : 5890 - 5897
  • [9] Wearable Devices Combined with Artificial Intelligence-A Future Technology for Atrial Fibrillation Detection?
    Makynen, Marko
    Ng, G. Andre
    Li, Xin
    Schlindwein, Fernando S.
    [J]. SENSORS, 2022, 22 (22)
  • [10] Detection of atrial fibrillation-related electropathology by artificial intelligence: is the future already here?
    de Groot, Natasja M. S.
    van Schie, Mathijs S.
    [J]. EUROPEAN HEART JOURNAL - DIGITAL HEALTH, 2022, 3 (02): : 236 - 237