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: 38079535)

  • 1. Single-lead electrocardiogram Artificial Intelligence model with risk factors detects atrial fibrillation during sinus rhythm.
    Dupulthys S; Dujardin K; Anné W; Pollet P; Vanhaverbeke M; McAuliffe D; Lammertyn PJ; Berteloot L; Mertens N; De Jaeger P
    Europace; 2024 Feb; 26(2):. PubMed ID: 38079535
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An artificial intelligence-based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening.
    Hygrell T; Viberg F; Dahlberg E; Charlton PH; Kemp Gudmundsdottir K; Mant J; Hörnlund JL; Svennberg E
    Europace; 2023 Apr; 25(4):1332-1338. PubMed ID: 36881777
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detecting Paroxysmal Atrial Fibrillation From an Electrocardiogram in Sinus Rhythm: External Validation of the AI Approach.
    Gruwez H; Barthels M; Haemers P; Verbrugge FH; Dhont S; Meekers E; Wouters F; Nuyens D; Pison L; Vandervoort P; Pierlet N
    JACC Clin Electrophysiol; 2023 Aug; 9(8 Pt 3):1771-1782. PubMed ID: 37354171
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Artificial Intelligence-Enabled ECG to Identify Silent Atrial Fibrillation in Embolic Stroke of Unknown Source.
    Rabinstein AA; Yost MD; Faust L; Kashou AH; Latif OS; Graff-Radford J; Attia IZ; Yao X; Noseworthy PA; Friedman PA
    J Stroke Cerebrovasc Dis; 2021 Sep; 30(9):105998. PubMed ID: 34303963
    [TBL] [Abstract][Full Text] [Related]  

  • 6. ECG-Based Deep Learning and Clinical Risk Factors to Predict Atrial Fibrillation.
    Khurshid S; Friedman S; Reeder C; Di Achille P; Diamant N; Singh P; Harrington LX; Wang X; Al-Alusi MA; Sarma G; Foulkes AS; Ellinor PT; Anderson CD; Ho JE; Philippakis AA; Batra P; Lubitz SA
    Circulation; 2022 Jan; 145(2):122-133. PubMed ID: 34743566
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic Mobile Health Arrhythmia Monitoring for the Detection of Atrial Fibrillation: Prospective Feasibility, Accuracy, and User Experience Study.
    Santala OE; Halonen J; Martikainen S; Jäntti H; Rissanen TT; Tarvainen MP; Laitinen TP; Laitinen TM; Väliaho ES; Hartikainen JEK; Martikainen TJ; Lipponen JA
    JMIR Mhealth Uhealth; 2021 Oct; 9(10):e29933. PubMed ID: 34677135
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Identification of Atrial Fibrillation With Single-Lead Mobile ECG During Normal Sinus Rhythm Using Deep Learning.
    Kim J; Lee SJ; Ko B; Lee M; Lee YS; Lee KH
    J Korean Med Sci; 2024 Feb; 39(5):e56. PubMed ID: 38317452
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Lead-I ECG for detecting atrial fibrillation in patients with an irregular pulse using single time point testing: a systematic review and economic evaluation.
    Duarte R; Stainthorpe A; Greenhalgh J; Richardson M; Nevitt S; Mahon J; Kotas E; Boland A; Thom H; Marshall T; Hall M; Takwoingi Y
    Health Technol Assess; 2020 Jan; 24(3):1-164. PubMed ID: 31933471
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Migraine with aura associates with a higher artificial intelligence: ECG atrial fibrillation prediction model output compared to migraine without aura in both women and men.
    Chiang CC; Chhabra N; Chao CJ; Wang H; Zhang N; Lim E; Baez-Suarez A; Attia ZI; Schwedt TJ; Dodick DW; Cutrer FM; Friedman PA; Noseworthy PA
    Headache; 2022 Sep; 62(8):939-951. PubMed ID: 35676887
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study.
    Baek YS; Kwon S; You SC; Lee KN; Yu HT; Lee SR; Roh SY; Kim DH; Shin SY; Lee DI; Park J; Park YM; Suh YJ; Choi EK; Lee SC; Joung B; Choi W; Kim DH
    Front Cardiovasc Med; 2023; 10():1258167. PubMed ID: 37886735
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Analyzing artificial intelligence systems for the prediction of atrial fibrillation from sinus-rhythm ECGs including demographics and feature visualization.
    Melzi P; Tolosana R; Cecconi A; Sanz-Garcia A; Ortega GJ; Jimenez-Borreguero LJ; Vera-Rodriguez R
    Sci Rep; 2021 Nov; 11(1):22786. PubMed ID: 34815461
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm.
    Baek YS; Lee SC; Choi W; Kim DH
    Sci Rep; 2021 Jun; 11(1):12818. PubMed ID: 34140578
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diagnostic performance of a wearing dynamic ECG recorder for atrial fibrillation screening: the HUAMI heart study.
    Fu W; Li R
    BMC Cardiovasc Disord; 2021 Nov; 21(1):558. PubMed ID: 34800984
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Safe automatic one-lead electrocardiogram analysis in screening for atrial fibrillation.
    Svennberg E; Stridh M; Engdahl J; Al-Khalili F; Friberg L; Frykman V; Rosenqvist M
    Europace; 2017 Sep; 19(9):1449-1453. PubMed ID: 28339578
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Artificial Intelligence-Electrocardiography to Predict Incident Atrial Fibrillation: A Population-Based Study.
    Christopoulos G; Graff-Radford J; Lopez CL; Yao X; Attia ZI; Rabinstein AA; Petersen RC; Knopman DS; Mielke MM; Kremers W; Vemuri P; Siontis KC; Friedman PA; Noseworthy PA
    Circ Arrhythm Electrophysiol; 2020 Dec; 13(12):e009355. PubMed ID: 33185118
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Lead-Specific Performance for Atrial Fibrillation Detection in Convolutional Neural Network Models Using Sinus Rhythm Electrocardiography.
    Suzuki S; Motogi J; Umemoto T; Hirota N; Nakai H; Matsuzawa W; Takayanagi T; Hyodo A; Satoh K; Arita T; Yagi N; Kishi M; Semba H; Kano H; Matsuno S; Kato Y; Otsuka T; Hori T; Matsuhama M; Iida M; Uejima T; Oikawa Y; Yajima J; Yamashita T
    Circ Rep; 2024 Mar; 6(3):46-54. PubMed ID: 38464990
    [No Abstract]   [Full Text] [Related]  

  • 18. Utility of an Artificial Intelligence Enabled Electrocardiogram for Risk Assessment in Liver Transplant Candidates.
    Zaver HB; Mzaik O; Thomas J; Roopkumar J; Adedinsewo D; Keaveny AP; Patel T
    Dig Dis Sci; 2023 Jun; 68(6):2379-2388. PubMed ID: 37022601
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial Intelligence-Enabled Electrocardiogram for Atrial Fibrillation Identifies Cognitive Decline Risk and Cerebral Infarcts.
    Weil EL; Noseworthy PA; Lopez CL; Rabinstein AA; Friedman PA; Attia ZI; Yao X; Siontis KC; Kremers WK; Christopoulos G; Mielke MM; Vemuri P; Jack CR; Gersh BJ; Machulda MM; Knopman DS; Petersen RC; Graff-Radford J
    Mayo Clin Proc; 2022 May; 97(5):871-880. PubMed ID: 35512882
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating atrial fibrillation artificial intelligence for the ED: statistical and clinical implications.
    Kaminski AE; Albus ML; Ball CT; White LJ; Sheele JM; Attia ZI; Friedman PA; Adedinsewo DA; Noseworthy PA
    Am J Emerg Med; 2022 Jul; 57():98-102. PubMed ID: 35533574
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.