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Journal Abstract Search

154 related items for PubMed ID: 39116276

  • 1. Validation of Noninvasive Detection of Hyperkalemia by Artificial Intelligence-Enhanced Electrocardiography in High Acuity Settings.
    Harmon DM, Liu K, Dugan J, Jentzer JC, Attia ZI, Friedman PA, Dillon JJ.
    Clin J Am Soc Nephrol; 2024 Aug 01; 19(8):952-958. PubMed ID: 39116276
    [Abstract] [Full Text] [Related]

  • 2. Hyperkalemia Detection in Emergency Departments Using Initial ECGs: A Smartphone AI ECG Analyzer vs. Board-Certified Physicians.
    Kim D, Jeong J, Kim J, Cho Y, Park I, Lee SM, Oh YT, Baek S, Kang D, Lee E, Jeong B.
    J Korean Med Sci; 2023 Nov 20; 38(45):e322. PubMed ID: 37987103
    [Abstract] [Full Text] [Related]

  • 3. Development and Validation of a Deep-Learning Model to Screen for Hyperkalemia From the Electrocardiogram.
    Galloway CD, Valys AV, Shreibati JB, Treiman DL, Petterson FL, Gundotra VP, Albert DE, Attia ZI, Carter RE, Asirvatham SJ, Ackerman MJ, Noseworthy PA, Dillon JJ, Friedman PA.
    JAMA Cardiol; 2019 May 01; 4(5):428-436. PubMed ID: 30942845
    [Abstract] [Full Text] [Related]

  • 4. Mortality Risk Stratification Utilizing Artificial Intelligence Electrocardiogram for Hyperkalemia in Cardiac Intensive Care Unit Patients.
    Harmon DM, Heinrich CK, Dillon JJ, Carter RE, Kashani KB, Attia ZI, Friedman PA, Jentzer JC.
    JACC Adv; 2024 Sep 01; 3(9):101169. PubMed ID: 39372474
    [Abstract] [Full Text] [Related]

  • 5. Use of artificial intelligence-powered ECG to differentiate between cardiac and pulmonary pathologies in patients with acute dyspnoea in the emergency department.
    Jang JH, Lee SW, Kim DY, Shin SH, Lee SC, Kim DH, Choi W, Baek YS.
    Open Heart; 2024 Oct 01; 11(2):. PubMed ID: 39353705
    [Abstract] [Full Text] [Related]

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  • 7. Serum Potassium Monitoring Using AI-Enabled Smartwatch Electrocardiograms.
    Chiu IM, Wu PJ, Zhang H, Hughes JW, Rogers AJ, Jalilian L, Perez M, Lin CR, Lee CT, Zou J, Ouyang D.
    JACC Clin Electrophysiol; 2024 Dec 01; 10(12):2644-2654. PubMed ID: 39387744
    [Abstract] [Full Text] [Related]

  • 8. The ability of physicians to predict hyperkalemia from the ECG.
    Wrenn KD, Slovis CM, Slovis BS.
    Ann Emerg Med; 1991 Nov 01; 20(11):1229-32. PubMed ID: 1952310
    [Abstract] [Full Text] [Related]

  • 9. Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.
    Adedinsewo D, Carter RE, Attia Z, Johnson P, Kashou AH, Dugan JL, Albus M, Sheele JM, Bellolio F, Friedman PA, Lopez-Jimenez F, Noseworthy PA.
    Circ Arrhythm Electrophysiol; 2020 Aug 01; 13(8):e008437. PubMed ID: 32986471
    [Abstract] [Full Text] [Related]

  • 10. Can physicians detect hyperkalemia based on the electrocardiogram?
    Rafique Z, Aceves J, Espina I, Peacock F, Sheikh-Hamad D, Kuo D.
    Am J Emerg Med; 2020 Jan 01; 38(1):105-108. PubMed ID: 31047740
    [Abstract] [Full Text] [Related]

  • 11. Left ventricular systolic dysfunction identification using artificial intelligence-augmented electrocardiogram in cardiac intensive care unit patients.
    Jentzer JC, Kashou AH, Attia ZI, Lopez-Jimenez F, Kapa S, Friedman PA, Noseworthy PA.
    Int J Cardiol; 2021 Mar 01; 326():114-123. PubMed ID: 33152415
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  • 13. External validation and update of the early detection rule for severe hyperkalemia among patients with symptomatic bradycardia.
    Kim DH, Chon SB, Choi JH, Kwak YH.
    Am J Emerg Med; 2022 Jan 01; 51():401-408. PubMed ID: 34602330
    [Abstract] [Full Text] [Related]

  • 14. Computer-assisted image processing 12 lead ECG model to diagnose hyperkalemia.
    Velagapudi V, O'Horo JC, Vellanki A, Baker SP, Pidikiti R, Stoff JS, Tighe DA.
    J Electrocardiol; 2017 Jan 01; 50(1):131-138. PubMed ID: 27662777
    [Abstract] [Full Text] [Related]

  • 15. Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram.
    An JN, Park M, Joo S, Chang M, Kim DH, Shin DG, Na Y, Kim JK, Lee HS, Song YR, Lee Y, Kim SG.
    Sci Rep; 2024 Oct 01; 14(1):22868. PubMed ID: 39353972
    [Abstract] [Full Text] [Related]

  • 16. 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 07; 394(10201):861-867. PubMed ID: 31378392
    [Abstract] [Full Text] [Related]

  • 17. Electrocardiographic T wave alterations and prediction of hyperkalemia in patients with acute kidney injury.
    Regolisti G, Maggiore U, Greco P, Maccari C, Parenti E, Di Mario F, Pistolesi V, Morabito S, Fiaccadori E.
    Intern Emerg Med; 2020 Apr 07; 15(3):463-472. PubMed ID: 31686358
    [Abstract] [Full Text] [Related]

  • 18. Hypertrophic cardiomyopathy detection with artificial intelligence electrocardiography in international cohorts: an external validation study.
    Siontis KC, Wieczorek MA, Maanja M, Hodge DO, Kim HK, Lee HJ, Lee H, Lim J, Park CS, Ariga R, Raman B, Mahmod M, Watkins H, Neubauer S, Windecker S, Siontis GCM, Gersh BJ, Ackerman MJ, Attia ZI, Friedman PA, Noseworthy PA.
    Eur Heart J Digit Health; 2024 Jul 07; 5(4):416-426. PubMed ID: 39081936
    [Abstract] [Full Text] [Related]

  • 19. Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals-Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study.
    Han C, Song Y, Lim HS, Tae Y, Jang JH, Lee BT, Lee Y, Bae W, Yoon D.
    J Med Internet Res; 2021 Sep 10; 23(9):e31129. PubMed ID: 34505839
    [Abstract] [Full Text] [Related]

  • 20. Detection of hypertrophic cardiomyopathy by an artificial intelligence electrocardiogram in children and adolescents.
    Siontis KC, Liu K, Bos JM, Attia ZI, Cohen-Shelly M, Arruda-Olson AM, Zanjirani Farahani N, Friedman PA, Noseworthy PA, Ackerman MJ.
    Int J Cardiol; 2021 Oct 01; 340():42-47. PubMed ID: 34419527
    [Abstract] [Full Text] [Related]

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