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 *

220 related articles for article (PubMed ID: 37123475)

  • 1. Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and cardiovascular outcomes.
    Baek YS; Lee DH; Jo Y; Lee SC; Choi W; Kim DH
    Front Cardiovasc Med; 2023; 10():1137892. PubMed ID: 37123475
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Artificial Intelligence-Enabled Assessment of the Heart Rate Corrected QT Interval Using a Mobile Electrocardiogram Device.
    Giudicessi JR; Schram M; Bos JM; Galloway CD; Shreibati JB; Johnson PW; Carter RE; Disrud LW; Kleiman R; Attia ZI; Noseworthy PA; Friedman PA; Albert DE; Ackerman MJ
    Circulation; 2021 Mar; 143(13):1274-1286. PubMed ID: 33517677
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The 12-lead electrocardiogram as a biomarker of biological age.
    Ladejobi AO; Medina-Inojosa JR; Shelly Cohen M; Attia ZI; Scott CG; LeBrasseur NK; Gersh BJ; Noseworthy PA; Friedman PA; Kapa S; Lopez-Jimenez F
    Eur Heart J Digit Health; 2021 Sep; 2(3):379-389. PubMed ID: 36713596
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study.
    Brant LCC; Ribeiro AH; Pinto-Filho MM; Kornej J; Preis SR; Fetterman JL; Eromosele OB; Magnani JW; Murabito JM; Larson MG; Benjamin EJ; Ribeiro ALP; Lin H
    Circ Cardiovasc Qual Outcomes; 2023 Jul; 16(7):e009821. PubMed ID: 37381910
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison Between QT and Corrected QT Interval Assessment by an Apple Watch With the AccurBeat Platform and by a 12‑Lead Electrocardiogram With Manual Annotation: Prospective Observational Study.
    Chokshi S; Tologonova G; Calixte R; Yadav V; Razvi N; Lazar J; Kachnowski S
    JMIR Form Res; 2022 Sep; 6(9):e41241. PubMed ID: 36169999
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms.
    Hirota N; Suzuki S; Motogi J; Nakai H; Matsuzawa W; Takayanagi T; Umemoto T; Hyodo A; Satoh K; Arita T; Yagi N; Otsuka T; Yamashita T
    Int J Cardiol Heart Vasc; 2023 Feb; 44():101172. PubMed ID: 36654885
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders.
    Chang CH; Lin CS; Luo YS; Lee YT; Lin C
    Front Cardiovasc Med; 2022; 9():754909. PubMed ID: 35211522
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identifying risk of adverse outcomes in COVID-19 patients via artificial intelligence-powered analysis of 12-lead intake electrocardiogram.
    Sridhar AR; Chen Amber ZH; Mayfield JJ; Fohner AE; Arvanitis P; Atkinson S; Braunschweig F; Chatterjee NA; Zamponi AF; Johnson G; Joshi SA; Lassen MCH; Poole JE; Rumer C; Skaarup KG; Biering-Sørensen T; Blomstrom-Lundqvist C; Linde CM; Maleckar MM; Boyle PM
    Cardiovasc Digit Health J; 2022 Apr; 3(2):62-74. PubMed ID: 35005676
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Artificial intelligence-augmented electrocardiography for left ventricular systolic dysfunction in patients undergoing high-sensitivity cardiac troponin T.
    De Michieli L; Knott JD; Attia ZI; Ola O; Mehta RA; Akula A; Hodge DO; Gulati R; Friedman PA; Jaffe AS; Sandoval Y
    Eur Heart J Acute Cardiovasc Care; 2023 Feb; 12(2):106-114. PubMed ID: 36537652
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep neural network-estimated electrocardiographic age as a mortality predictor.
    Lima EM; Ribeiro AH; Paixão GMM; Ribeiro MH; Pinto-Filho MM; Gomes PR; Oliveira DM; Sabino EC; Duncan BB; Giatti L; Barreto SM; Meira W; Schön TB; Ribeiro ALP
    Nat Commun; 2021 Aug; 12(1):5117. PubMed ID: 34433816
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Heart age gap estimated by explainable advanced electrocardiography is associated with cardiovascular risk factors and survival.
    Lindow T; Maanja M; Schelbert EB; Ribeiro AH; Ribeiro ALP; Schlegel TT; Ugander M
    Eur Heart J Digit Health; 2023 Oct; 4(5):384-392. PubMed ID: 37794867
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence-Enabled Electrocardiography Predicts Left Ventricular Dysfunction and Future Cardiovascular Outcomes: A Retrospective Analysis.
    Chen HY; Lin CS; Fang WH; Lou YS; Cheng CC; Lee CC; Lin C
    J Pers Med; 2022 Mar; 12(3):. PubMed ID: 35330455
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Learning to Predict Cardiac Magnetic Resonance-Derived Left Ventricular Mass and Hypertrophy From 12-Lead ECGs.
    Khurshid S; Friedman S; Pirruccello JP; Di Achille P; Diamant N; Anderson CD; Ellinor PT; Batra P; Ho JE; Philippakis AA; Lubitz SA
    Circ Cardiovasc Imaging; 2021 Jun; 14(6):e012281. PubMed ID: 34126762
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mortality risk prediction of the electrocardiogram as an informative indicator of cardiovascular diseases.
    Tsai DJ; Lou YS; Lin CS; Fang WH; Lee CC; Ho CL; Wang CH; Lin C
    Digit Health; 2023; 9():20552076231187247. PubMed ID: 37448781
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study.
    Bachtiger P; Petri CF; Scott FE; Ri Park S; Kelshiker MA; Sahemey HK; Dumea B; Alquero R; Padam PS; Hatrick IR; Ali A; Ribeiro M; Cheung WS; Bual N; Rana B; Shun-Shin M; Kramer DB; Fragoyannis A; Keene D; Plymen CM; Peters NS
    Lancet Digit Health; 2022 Feb; 4(2):e117-e125. PubMed ID: 34998740
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Electrocardiography-Based Artificial Intelligence Algorithm Aids in Prediction of Long-term Mortality After Cardiac Surgery.
    Mahayni AA; Attia ZI; Medina-Inojosa JR; Elsisy MFA; Noseworthy PA; Lopez-Jimenez F; Kapa S; Asirvatham SJ; Friedman PA; Crestenallo JA; Alkhouli M
    Mayo Clin Proc; 2021 Dec; 96(12):3062-3070. PubMed ID: 34863396
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Prediction of adverse cardiovascular events in children using artificial intelligence-based electrocardiogram.
    Nogimori Y; Sato K; Takamizawa K; Ogawa Y; Tanaka Y; Shiraga K; Masuda H; Matsui H; Kato M; Daimon M; Fujiu K; Inuzuka R
    Int J Cardiol; 2024 Jul; 406():132019. PubMed ID: 38579941
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.