204 related articles for article (PubMed ID: 34548191)
1. Overview of featurization techniques used in traditional versus emerging deep learning-based algorithms for automated interpretation of the 12-lead ECG.
Finlay D; Bond R; Jennings M; McCausland C; Guldenring D; Kennedy A; Biglarbeigi P; Al-Zaiti SS; Brisk R; McLaughlin J
J Electrocardiol; 2021; 69S():7-11. PubMed ID: 34548191
[TBL] [Abstract][Full Text] [Related]
2. 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; 23(9):e31129. PubMed ID: 34505839
[TBL] [Abstract][Full Text] [Related]
3. Comparison of two artificial intelligence-augmented ECG approaches: Machine learning and deep learning.
Kashou AH; May AM; Noseworthy PA
J Electrocardiol; 2023; 79():75-80. PubMed ID: 36989954
[TBL] [Abstract][Full Text] [Related]
4. Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases.
Muzammil MA; Javid S; Afridi AK; Siddineni R; Shahabi M; Haseeb M; Fariha FNU; Kumar S; Zaveri S; Nashwan AJ
J Electrocardiol; 2024; 83():30-40. PubMed ID: 38301492
[TBL] [Abstract][Full Text] [Related]
5. Artificial Intelligence-Enabled ECG: a Modern Lens on an Old Technology.
Kashou AH; May AM; Noseworthy PA
Curr Cardiol Rep; 2020 Jun; 22(8):57. PubMed ID: 32562154
[TBL] [Abstract][Full Text] [Related]
6. Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysis.
Elul Y; Rosenberg AA; Schuster A; Bronstein AM; Yaniv Y
Proc Natl Acad Sci U S A; 2021 Jun; 118(24):. PubMed ID: 34099565
[TBL] [Abstract][Full Text] [Related]
7. The application of deep learning in electrocardiogram: Where we came from and where we should go?
Sun JY; Shen H; Qu Q; Sun W; Kong XQ
Int J Cardiol; 2021 Aug; 337():71-78. PubMed ID: 34000355
[TBL] [Abstract][Full Text] [Related]
8. Artificial Intelligence Interpretation of the Electrocardiogram: A State-of-the-Art Review.
Ose B; Sattar Z; Gupta A; Toquica C; Harvey C; Noheria A
Curr Cardiol Rep; 2024 Jun; 26(6):561-580. PubMed ID: 38753291
[TBL] [Abstract][Full Text] [Related]
9. [Artificial intelligence-based ECG analysis: current status and future perspectives-Part 2 : Recent studies and future].
Haverkamp W; Strodthoff N; Israel C
Herzschrittmacherther Elektrophysiol; 2022 Sep; 33(3):305-311. PubMed ID: 35552487
[TBL] [Abstract][Full Text] [Related]
10. Technical and practical aspects of artificial intelligence in cardiology.
Bohm A; Jajcay N
Bratisl Lek Listy; 2022; 123(1):16-21. PubMed ID: 34967653
[TBL] [Abstract][Full Text] [Related]
11. Machine learning and the electrocardiogram over two decades: Time series and meta-analysis of the algorithms, evaluation metrics and applications.
Rjoob K; Bond R; Finlay D; McGilligan V; Leslie SJ; Rababah A; Iftikhar A; Guldenring D; Knoery C; McShane A; Peace A; Macfarlane PW
Artif Intell Med; 2022 Oct; 132():102381. PubMed ID: 36207087
[TBL] [Abstract][Full Text] [Related]
12. A comprehensive artificial intelligence-enabled electrocardiogram interpretation program.
Kashou AH; Ko WY; Attia ZI; Cohen MS; Friedman PA; Noseworthy PA
Cardiovasc Digit Health J; 2020; 1(2):62-70. PubMed ID: 35265877
[TBL] [Abstract][Full Text] [Related]
13. [Artificial intelligence-based ECG analysis: current status and future perspectives-Part 1 : Basic principles].
Haverkamp W; Strodthoff N; Israel C
Herzschrittmacherther Elektrophysiol; 2022 Jun; 33(2):232-240. PubMed ID: 35552486
[TBL] [Abstract][Full Text] [Related]
14. Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology.
Thomford NE; Bope CD; Agamah FE; Dzobo K; Owusu Ateko R; Chimusa E; Mazandu GK; Ntumba SB; Dandara C; Wonkam A
OMICS; 2020 May; 24(5):264-277. PubMed ID: 31592719
[TBL] [Abstract][Full Text] [Related]
15. SPICED-ACS: Study of the potential impact of a computer-generated ECG diagnostic algorithmic certainty index in STEMI diagnosis: Towards transparent AI.
Knoery CR; Bond R; Iftikhar A; Rjoob K; McGilligan V; Peace A; Heaton J; Leslie SJ
J Electrocardiol; 2019; 57S():S86-S91. PubMed ID: 31472927
[TBL] [Abstract][Full Text] [Related]
16. Applications of Artificial Intelligence in Cardiology. The Future is Already Here.
Dorado-Díaz PI; Sampedro-Gómez J; Vicente-Palacios V; Sánchez PL
Rev Esp Cardiol (Engl Ed); 2019 Dec; 72(12):1065-1075. PubMed ID: 31611150
[TBL] [Abstract][Full Text] [Related]
17. Automated serial ECG comparison improves computerized interpretation of 12-lead ECG.
Gregg RE; Deluca DC; Chien CH; Helfenbein ED; Ariet M
J Electrocardiol; 2012; 45(6):561-5. PubMed ID: 22995382
[TBL] [Abstract][Full Text] [Related]
18. Deep learning and the electrocardiogram: review of the current state-of-the-art.
Somani S; Russak AJ; Richter F; Zhao S; Vaid A; Chaudhry F; De Freitas JK; Naik N; Miotto R; Nadkarni GN; Narula J; Argulian E; Glicksberg BS
Europace; 2021 Aug; 23(8):1179-1191. PubMed ID: 33564873
[TBL] [Abstract][Full Text] [Related]
19. Electrocardiogram Interpretation Using Artificial Intelligence: Diagnosis of Cardiac and Extracardiac Pathologic Conditions. How Far Has Machine Learning Reached?
Raileanu G; de Jong JSSG
Curr Probl Cardiol; 2024 Jan; 49(1 Pt B):102097. PubMed ID: 37739276
[TBL] [Abstract][Full Text] [Related]
20. Artificial intelligence-enhanced electrocardiography in cardiovascular disease management.
Siontis KC; Noseworthy PA; Attia ZI; Friedman PA
Nat Rev Cardiol; 2021 Jul; 18(7):465-478. PubMed ID: 33526938
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
