These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

200 related articles for article (PubMed ID: 35203603)

  • 1. An Artificial Intelligence-Enabled ECG Algorithm for the Prediction and Localization of Angiography-Proven Coronary Artery Disease.
    Huang PS; Tseng YH; Tsai CF; Chen JJ; Yang SC; Chiu FC; Chen ZW; Hwang JJ; Chuang EY; Wang YC; Tsai CT
    Biomedicines; 2022 Feb; 10(2):. PubMed ID: 35203603
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving detection of obstructive coronary artery disease with an artificial intelligence-enabled electrocardiogram algorithm.
    Lee YH; Hsieh MT; Chang CC; Tsai YL; Chou RH; Lu HH; Huang PH
    Atherosclerosis; 2023 Sep; 381():117238. PubMed ID: 37607462
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.
    Han D; Liu J; Sun Z; Cui Y; He Y; Yang Z
    Comput Methods Programs Biomed; 2020 Nov; 196():105651. PubMed ID: 32712571
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification and risk stratification of coronary disease by artificial intelligence-enabled ECG.
    Awasthi S; Sachdeva N; Gupta Y; Anto AG; Asfahan S; Abbou R; Bade S; Sood S; Hegstrom L; Vellanki N; Alger HM; Babu M; Medina-Inojosa JR; McCully RB; Lerman A; Stampehl M; Barve R; Attia ZI; Friedman PA; Soundararajan V; Lopez-Jimenez F
    EClinicalMedicine; 2023 Nov; 65():102259. PubMed ID: 38106563
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The feasibility of early detecting coronary artery disease using deep learning-based algorithm based on electrocardiography.
    Tang P; Wang Q; Ouyang H; Yang S; Hua P
    Aging (Albany NY); 2023 May; 15(9):3524-3537. PubMed ID: 37186897
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning to detect significant coronary artery disease from plain chest radiographs AI4CAD.
    D'Ancona G; Massussi M; Savardi M; Signoroni A; Di Bacco L; Farina D; Metra M; Maroldi R; Muneretto C; Ince H; Costabile D; Murero M; Chizzola G; Curello S; Benussi S
    Int J Cardiol; 2023 Jan; 370():435-441. PubMed ID: 36343794
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning Algorithm Predicts Angiographic Coronary Artery Disease in Stable Patients Using Only a Standard 12-Lead Electrocardiogram.
    Leasure M; Jain U; Butchy A; Otten J; Covalesky VA; McCormick D; Mintz GS
    Can J Cardiol; 2021 Nov; 37(11):1715-1724. PubMed ID: 34419615
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction.
    Attia ZI; Noseworthy PA; Lopez-Jimenez F; Asirvatham SJ; Deshmukh AJ; Gersh BJ; Carter RE; Yao X; Rabinstein AA; Erickson BJ; Kapa S; Friedman PA
    Lancet; 2019 Sep; 394(10201):861-867. PubMed ID: 31378392
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Age and Sex Estimation Using Artificial Intelligence From Standard 12-Lead ECGs.
    Attia ZI; Friedman PA; Noseworthy PA; Lopez-Jimenez F; Ladewig DJ; Satam G; Pellikka PA; Munger TM; Asirvatham SJ; Scott CG; Carter RE; Kapa S
    Circ Arrhythm Electrophysiol; 2019 Sep; 12(9):e007284. PubMed ID: 31450977
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Correlation between electrocardiographic changes and coronary findings in patients with acute myocardial infarction and single-vessel disease.
    Sanaani A; Yandrapalli S; Jolly G; Paudel R; Cooper HA; Aronow WS
    Ann Transl Med; 2017 Sep; 5(17):347. PubMed ID: 28936441
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Use of Artificial Intelligence and Deep Neural Networks in Evaluation of Patients With Electrocardiographically Concealed Long QT Syndrome From the Surface 12-Lead Electrocardiogram.
    Bos JM; Attia ZI; Albert DE; Noseworthy PA; Friedman PA; Ackerman MJ
    JAMA Cardiol; 2021 May; 6(5):532-538. PubMed ID: 33566059
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence-enhanced electrocardiography analysis as a promising tool for predicting obstructive coronary artery disease in patients with stable angina.
    Park J; Kim J; Kang SH; Lee J; Hong Y; Chang HJ; Cho Y; Yoon YE
    Eur Heart J Digit Health; 2024 Jul; 5(4):444-453. PubMed ID: 39081950
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA.
    Muscogiuri G; Chiesa M; Trotta M; Gatti M; Palmisano V; Dell'Aversana S; Baessato F; Cavaliere A; Cicala G; Loffreno A; Rizzon G; Guglielmo M; Baggiano A; Fusini L; Saba L; Andreini D; Pepi M; Rabbat MG; Guaricci AI; De Cecco CN; Colombo G; Pontone G
    Atherosclerosis; 2020 Feb; 294():25-32. PubMed ID: 31945615
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of sulfur hexafluoride microbubble (SonoVue)-enhanced myocardial contrast echocardiography with gated single-photon emission computed tomography for detection of significant coronary artery disease: a large European multicenter study.
    Senior R; Moreo A; Gaibazzi N; Agati L; Tiemann K; Shivalkar B; von Bardeleben S; Galiuto L; Lardoux H; Trocino G; Carrió I; Le Guludec D; Sambuceti G; Becher H; Colonna P; Ten Cate F; Bramucci E; Cohen A; Bezante G; Aggeli C; Kasprzak JD
    J Am Coll Cardiol; 2013 Oct; 62(15):1353-61. PubMed ID: 23770168
    [TBL] [Abstract][Full Text] [Related]  

  • 15. An artificial intelligence-enabled ECG algorithm for identifying ventricular premature contraction during sinus rhythm.
    Chang SN; Tseng YH; Chen JJ; Chiu FC; Tsai CF; Hwang JJ; Wang YC; Tsai CT
    Eur J Med Res; 2022 Dec; 27(1):289. PubMed ID: 36517841
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning powered coronary CT angiography for detecting obstructive coronary artery disease: The effect of reader experience, calcification and image quality.
    Liu CY; Tang CX; Zhang XL; Chen S; Xie Y; Zhang XY; Qiao HY; Zhou CS; Xu PP; Lu MJ; Li JH; Lu GM; Zhang LJ
    Eur J Radiol; 2021 Sep; 142():109835. PubMed ID: 34237493
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Detection of myocardial ischemia due to clinically asymptomatic coronary artery stenosis at rest using supervised artificial intelligence-enabled vectorcardiography - A five-fold cross validation of accuracy.
    Braun T; Spiliopoulos S; Veltman C; Hergesell V; Passow A; Tenderich G; Borggrefe M; Koerner MM
    J Electrocardiol; 2020; 59():100-105. PubMed ID: 32036110
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence-enabled 8-lead ECG detection of atrial septal defect among adults: a novel diagnostic tool.
    Luo Q; Zhu H; Zhu J; Li Y; Yu Y; Lei L; Lin F; Zhou M; Cui L; Zhu T; Li X; Zuo H; Yang X
    Front Cardiovasc Med; 2023; 10():1279324. PubMed ID: 38028503
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Feasibility of Artificial Intelligence-Based Electrocardiography Analysis for the Prediction of Obstructive Coronary Artery Disease in Patients With Stable Angina: Validation Study.
    Park J; Yoon Y; Cho Y; Kim J
    JMIR Cardio; 2023 May; 7():e44791. PubMed ID: 37129937
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ECG-AI: electrocardiographic artificial intelligence model for prediction of heart failure.
    Akbilgic O; Butler L; Karabayir I; Chang PP; Kitzman DW; Alonso A; Chen LY; Soliman EZ
    Eur Heart J Digit Health; 2021 Dec; 2(4):626-634. PubMed ID: 34993487
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.