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 *

62 related articles for article (PubMed ID: 34602084)

  • 1. Deep-learning model for screening sepsis using electrocardiography.
    Kwon JM; Lee YR; Jung MS; Lee YJ; Jo YY; Kang DY; Lee SY; Cho YH; Shin JH; Ban JH; Kim KH
    Scand J Trauma Resusc Emerg Med; 2021 Oct; 29(1):145. PubMed ID: 34602084
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study.
    Ouyang D; Theurer J; Stein NR; Hughes JW; Elias P; He B; Yuan N; Duffy G; Sandhu RK; Ebinger J; Botting P; Jujjavarapu M; Claggett B; Tooley JE; Poterucha T; Chen JH; Nurok M; Perez M; Perotte A; Zou JY; Cook NR; Chugh SS; Cheng S; Albert CM
    Lancet Digit Health; 2024 Jan; 6(1):e70-e78. PubMed ID: 38065778
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comprehensive clinical application analysis of artificial intelligence-enabled electrocardiograms for screening multiple valvular heart diseases.
    Lin YT; Lin CS; Tsai CS; Tsai DJ; Lou YS; Fang WH; Lee YT; Lin C
    Aging (Albany NY); 2024 May; 16(10):8717-8731. PubMed ID: 38761181
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Learning Algorithm for Management of Diabetes Mellitus via Electrocardiogram-Based Glycated Hemoglobin (ECG-HbA1c): A Retrospective Cohort Study.
    Lin CS; Lee YT; Fang WH; Lou YS; Kuo FC; Lee CC; Lin C
    J Pers Med; 2021 Jul; 11(8):. PubMed ID: 34442369
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning.
    Aras MA; Abreau S; Mills H; Radhakrishnan L; Klein L; Mantri N; Rubin B; Barrios J; Chehoud C; Kogan E; Gitton X; Nnewihe A; Quinn D; Bridges C; Butte AJ; Olgin JE; Tison GH
    J Card Fail; 2023 Jul; 29(7):1017-1028. PubMed ID: 36706977
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feasibility of remote monitoring for fatal coronary heart disease using Apple Watch ECGs.
    Butler L; Ivanov A; Celik T; Karabayir I; Chinthala L; Hudson MM; Ness KK; Mulrooney DA; Dixon SB; Tootooni MS; Doerr AJ; Jaeger BC; Davis RL; McManus DD; Herrington D; Akbilgic O
    Cardiovasc Digit Health J; 2024 Jun; 5(3):115-121. PubMed ID: 38989042
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification.
    Lu L; Zhu T; Ribeiro AH; Clifton L; Zhao E; Zhou J; Ribeiro ALP; Zhang YT; Clifton DA
    Eur Heart J Digit Health; 2024 May; 5(3):247-259. PubMed ID: 38774384
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Race, Sex, and Age Disparities in the Performance of ECG Deep Learning Models Predicting Heart Failure.
    Kaur D; Hughes JW; Rogers AJ; Kang G; Narayan SM; Ashley EA; Perez MV
    Circ Heart Fail; 2024 Jan; 17(1):e010879. PubMed ID: 38126168
    [TBL] [Abstract][Full Text] [Related]  

  • 9. DeepMiceTL: a deep transfer learning based prediction of mice cardiac conduction diseases using early electrocardiograms.
    Liao Y; Xiang Y; Zheng M; Wang J
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 36935112
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Optimize individualized energy delivery for septic patients using predictive deep learning models.
    Wang L; Chang L; Zhang R; Li K; Wang Y; Chen W; Feng X; Sun M; Wang Q; Lu CD; Zeng J; Jiang H
    Asia Pac J Clin Nutr; 2024 Sep; 33(3):348-361. PubMed ID: 38965722
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Sepsis code: Looking for our "ST-segment" in the fog.
    Yébenes JC; Lorencio C
    Med Clin (Barc); 2023 Nov; 161(9):386-388. PubMed ID: 38783721
    [No Abstract]   [Full Text] [Related]  

  • 12. Author Correction: Impact of a deep learning sepsis prediction model on quality of care and survival.
    Boussina A; Shashikumar SP; Malhotra A; Owens RL; El-Kareh R; Longhurst CA; Quintero K; Donahue A; Chan TC; Nemati S; Wardi G
    NPJ Digit Med; 2024 Jun; 7(1):153. PubMed ID: 38866915
    [No Abstract]   [Full Text] [Related]  

  • 13. Screening ECGs for Cardiovascular Risk Assessment.
    Krist AH
    JAMA Intern Med; 2024 Jul; ():. PubMed ID: 38949817
    [No Abstract]   [Full Text] [Related]  

  • 14. 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]  

  • 15. A predictive model for the identification of the risk of sepsis in patients with Gram-positive bacteria in the intensive care unit.
    Chen X; Zhou Y; Luo L; Peng X; Xiang T
    J Thorac Dis; 2023 Sep; 15(9):4896-4913. PubMed ID: 37868898
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Association of preoperative electrocardiographic markers with sepsis in elderly patients after general surgery.
    Xie W; Wu L; Yang M; Luo H; Li W; Li H
    BMC Cardiovasc Disord; 2023 Oct; 23(1):485. PubMed ID: 37794366
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research frontiers and trends in the application of artificial intelligence to sepsis: A bibliometric analysis.
    Tang M; Mu F; Cui C; Zhao JY; Lin R; Sun KX; Guan Y; Wang JW
    Front Med (Lausanne); 2022; 9():1043589. PubMed ID: 36714139
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis.
    Chung CT; Lee S; King E; Liu T; Armoundas AA; Bazoukis G; Tse G
    Int J Arrhythmia; 2022; 23(1):24. PubMed ID: 36212507
    [TBL] [Abstract][Full Text] [Related]  

  • 19. State-of-the-Art Deep Learning Methods on Electrocardiogram Data: Systematic Review.
    Petmezas G; Stefanopoulos L; Kilintzis V; Tzavelis A; Rogers JA; Katsaggelos AK; Maglaveras N
    JMIR Med Inform; 2022 Aug; 10(8):e38454. PubMed ID: 35969441
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset.
    Sadasivuni S; Saha M; Bhatia N; Banerjee I; Sanyal A
    Sci Rep; 2022 Apr; 12(1):5711. PubMed ID: 35383233
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 4.