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 *

150 related articles for article (PubMed ID: 37448781)

  • 21. Explainable artificial intelligence to detect atrial fibrillation using electrocardiogram.
    Jo YY; Cho Y; Lee SY; Kwon JM; Kim KH; Jeon KH; Cho S; Park J; Oh BH
    Int J Cardiol; 2021 Apr; 328():104-110. PubMed ID: 33271204
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Deep-Learning Algorithm-Enhanced Electrocardiogram Interpretation for Detecting Pulmonary Embolism.
    Chen YC; Tsai SC; Lin C; Lin CS; Fang WH; Lou YS; Lee CC; Liu PY
    Acta Cardiol Sin; 2023 Nov; 39(6):913-928. PubMed ID: 38022412
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Community-based participatory research application of an artificial intelligence-enhanced electrocardiogram for cardiovascular disease screening: A FAITH! Trial ancillary study.
    Harmon DM; Adedinsewo D; Van't Hof JR; Johnson M; Hayes SN; Lopez-Jimenez F; Jones C; Attia ZI; Friedman PA; Patten CA; Cooper LA; Brewer LC
    Am J Prev Cardiol; 2022 Dec; 12():100431. PubMed ID: 36419480
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Electrocardiographic biomarker based on machine learning for detecting overt hyperthyroidism.
    Choi B; Jang JH; Son M; Lee MS; Jo YY; Jeon JY; Jin U; Soh M; Park RW; Kwon JM
    Eur Heart J Digit Health; 2022 Jun; 3(2):255-264. PubMed ID: 36713007
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Artificial intelligence assessment for early detection of heart failure with preserved ejection fraction based on electrocardiographic features.
    Kwon JM; Kim KH; Eisen HJ; Cho Y; Jeon KH; Lee SY; Park J; Oh BH
    Eur Heart J Digit Health; 2021 Mar; 2(1):106-116. PubMed ID: 36711179
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. 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]  

  • 28. Incidental abnormal ECG findings and long-term cardiovascular morbidity and all-cause mortality: A population based prospective study.
    Goldman A; Hod H; Chetrit A; Dankner R
    Int J Cardiol; 2019 Nov; 295():36-41. PubMed ID: 31412991
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. 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]  

  • 31. Using Artificial Intelligence to Predict Heart Failure Risk from Single-lead Electrocardiographic Signals: A Multinational Assessment.
    Dhingra LS; Aminorroaya A; Camargos AP; Khunte A; Sangha V; McIntyre D; Chow CK; Asselbergs FW; Brant LC; Barreto SM; Ribeiro ALP; Krumholz HM; Oikonomou EK; Khera R
    medRxiv; 2024 May; ():. PubMed ID: 38854022
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Mortality and Morbidity Effects of Long-Term Exposure to Low-Level PM
    Brunekreef B; Strak M; Chen J; Andersen ZJ; Atkinson R; Bauwelinck M; Bellander T; Boutron MC; Brandt J; Carey I; Cesaroni G; Forastiere F; Fecht D; Gulliver J; Hertel O; Hoffmann B; de Hoogh K; Houthuijs D; Hvidtfeldt U; Janssen N; Jorgensen J; Katsouyanni K; Ketzel M; Klompmaker J; Hjertager Krog N; Liu S; Ljungman P; Mehta A; Nagel G; Oftedal B; Pershagen G; Peters A; Raaschou-Nielsen O; Renzi M; Rodopoulou S; Samoli E; Schwarze P; Sigsgaard T; Stafoggia M; Vienneau D; Weinmayr G; Wolf K; Hoek G
    Res Rep Health Eff Inst; 2021 Sep; 2021(208):1-127. PubMed ID: 36106702
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Artificial Intelligence-Enabled Model for Early Detection of Left Ventricular Hypertrophy and Mortality Prediction in Young to Middle-Aged Adults.
    Liu CM; Hsieh ME; Hu YF; Wei TY; Wu IC; Chen PF; Lin YJ; Higa S; Yagi N; Chen SA; Tseng VS
    Circ Cardiovasc Qual Outcomes; 2022 Aug; 15(8):e008360. PubMed ID: 35959675
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Artificial intelligence-enabled electrocardiogram screens low left ventricular ejection fraction with a degree of confidence.
    Lee CH; Liu WT; Lou YS; Lin CS; Fang WH; Lee CC; Ho CL; Wang CH; Lin C
    Digit Health; 2022; 8():20552076221143249. PubMed ID: 36532114
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography.
    Kwon JM; Kim KH; Jo YY; Jung MS; Cho YH; Shin JH; Lee YJ; Ban JH; Lee SY; Park J; Oh BH
    Int Urol Nephrol; 2022 Oct; 54(10):2733-2744. PubMed ID: 35403974
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Deep neural networks reveal novel sex-specific electrocardiographic features relevant for mortality risk.
    Siegersma KR; van de Leur RR; Onland-Moret NC; Leon DA; Diez-Benavente E; Rozendaal L; Bots ML; Coronel R; Appelman Y; Hofstra L; van der Harst P; Doevendans PA; Hassink RJ; den Ruijter HM; van Es R
    Eur Heart J Digit Health; 2022 Jun; 3(2):245-254. PubMed ID: 36713005
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction.
    Huang YC; Hsu YC; Liu ZY; Lin CH; Tsai R; Chen JS; Chang PC; Liu HT; Lee WC; Wo HT; Chou CC; Wang CC; Wen MS; Kuo CF
    Front Cardiovasc Med; 2023; 10():1070641. PubMed ID: 36960474
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study.
    Dhingra LS; Aminorroaya A; Sangha V; Camargos AP; Asselbergs FW; Brant LC; Barreto SM; Ribeiro ALP; Krumholz HM; Oikonomou EK; Khera R
    medRxiv; 2024 Apr; ():. PubMed ID: 38633808
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Comparing Artificial Intelligence-Enabled Electrocardiogram Models in Identifying Left Atrium Enlargement and Long-term Cardiovascular Risk.
    Chou CC; Liu ZY; Chang PC; Liu HT; Wo HT; Lee WC; Wang CC; Chen JS; Kuo CF; Wen MS
    Can J Cardiol; 2024 Apr; 40(4):585-594. PubMed ID: 38163477
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.