191 related articles for article (PubMed ID: 34853226)
1. The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms.
Katsushika S; Kodera S; Nakamoto M; Ninomiya K; Inoue S; Sawano S; Kakuda N; Takiguchi H; Shinohara H; Matsuoka R; Ieki H; Higashikuni Y; Nakanishi K; Nakao T; Seki T; Takeda N; Fujiu K; Daimon M; Akazawa H; Morita H; Komuro I
Int Heart J; 2021; 62(6):1332-1341. PubMed ID: 34853226
[TBL] [Abstract][Full Text] [Related]
2. Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.
Attia ZI; Kapa S; Yao X; Lopez-Jimenez F; Mohan TL; Pellikka PA; Carter RE; Shah ND; Friedman PA; Noseworthy PA
J Cardiovasc Electrophysiol; 2019 May; 30(5):668-674. PubMed ID: 30821035
[TBL] [Abstract][Full Text] [Related]
3. Pediatric ECG-Based Deep Learning to Predict Left Ventricular Dysfunction and Remodeling.
Mayourian J; La Cava WG; Vaid A; Nadkarni GN; Ghelani SJ; Mannix R; Geva T; Dionne A; Alexander ME; Duong SQ; Triedman JK
Circulation; 2024 Mar; 149(12):917-931. PubMed ID: 38314583
[TBL] [Abstract][Full Text] [Related]
4. Deep Learning Models for Predicting Left Heart Abnormalities From Single-Lead Electrocardiogram for the Development of Wearable Devices.
Sato M; Kodera S; Setoguchi N; Tanabe K; Kushida S; Kanda J; Saji M; Nanasato M; Maki H; Fujita H; Kato N; Watanabe H; Suzuki M; Takahashi M; Sawada N; Yamasaki M; Sawano S; Katsushika S; Shinohara H; Takeda N; Fujiu K; Daimon M; Akazawa H; Morita H; Komuro I
Circ J; 2023 Dec; 88(1):146-156. PubMed ID: 37967949
[TBL] [Abstract][Full Text] [Related]
5. Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images.
Sangha V; Nargesi AA; Dhingra LS; Khunte A; Mortazavi BJ; Ribeiro AH; Banina E; Adeola O; Garg N; Brandt CA; Miller EJ; Ribeiro ALP; Velazquez EJ; Giatti L; Barreto SM; Foppa M; Yuan N; Ouyang D; Krumholz HM; Khera R
Circulation; 2023 Aug; 148(9):765-777. PubMed ID: 37489538
[TBL] [Abstract][Full Text] [Related]
6. Artificial Intelligence-Enabled ECG Algorithm to Identify Patients With Left Ventricular Systolic Dysfunction Presenting to the Emergency Department With Dyspnea.
Adedinsewo D; Carter RE; Attia Z; Johnson P; Kashou AH; Dugan JL; Albus M; Sheele JM; Bellolio F; Friedman PA; Lopez-Jimenez F; Noseworthy PA
Circ Arrhythm Electrophysiol; 2020 Aug; 13(8):e008437. PubMed ID: 32986471
[TBL] [Abstract][Full Text] [Related]
7. Using Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram.
Vaid A; Johnson KW; Badgeley MA; Somani SS; Bicak M; Landi I; Russak A; Zhao S; Levin MA; Freeman RS; Charney AW; Kukar A; Kim B; Danilov T; Lerakis S; Argulian E; Narula J; Nadkarni GN; Glicksberg BS
JACC Cardiovasc Imaging; 2022 Mar; 15(3):395-410. PubMed ID: 34656465
[TBL] [Abstract][Full Text] [Related]
8. Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study.
Zhu H; Cheng C; Yin H; Li X; Zuo P; Ding J; Lin F; Wang J; Zhou B; Li Y; Hu S; Xiong Y; Wang B; Wan G; Yang X; Yuan Y
Lancet Digit Health; 2020 Jul; 2(7):e348-e357. PubMed ID: 33328094
[TBL] [Abstract][Full Text] [Related]
9. Electrocardiogram-based deep learning model to screen peripartum cardiomyopathy.
Jung YM; Kang S; Son JM; Lee HS; Han GI; Yoo AH; Kwon JM; Park CW; Park JS; Jun JK; Lee MS; Lee SM
Am J Obstet Gynecol MFM; 2023 Dec; 5(12):101184. PubMed ID: 37863197
[TBL] [Abstract][Full Text] [Related]
10. A deep learning algorithm to detect anaemia with ECGs: a retrospective, multicentre study.
Kwon JM; Cho Y; Jeon KH; Cho S; Kim KH; Baek SD; Jeung S; Park J; Oh BH
Lancet Digit Health; 2020 Jul; 2(7):e358-e367. PubMed ID: 33328095
[TBL] [Abstract][Full Text] [Related]
11. Artificial Intelligence-Enabled Electrocardiogram Predicted Left Ventricle Diameter as an Independent Risk Factor of Long-Term Cardiovascular Outcome in Patients With Normal Ejection Fraction.
Chen HY; Lin CS; Fang WH; Lee CC; Ho CL; Wang CH; Lin C
Front Med (Lausanne); 2022; 9():870523. PubMed ID: 35479951
[TBL] [Abstract][Full Text] [Related]
12. Screening for left ventricular systolic dysfunction using GP-reported ECGs.
Goudie BM; Jarvis RI; Donnan PT; Sullivan FM; Pringle SD; Jeyaseelan S; Struthers AD
Br J Gen Pract; 2007 Mar; 57(536):191-5. PubMed ID: 17359605
[TBL] [Abstract][Full Text] [Related]
13. Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network.
Hannun AY; Rajpurkar P; Haghpanahi M; Tison GH; Bourn C; Turakhia MP; Ng AY
Nat Med; 2019 Jan; 25(1):65-69. PubMed ID: 30617320
[TBL] [Abstract][Full Text] [Related]
14. External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction.
Attia IZ; Tseng AS; Benavente ED; Medina-Inojosa JR; Clark TG; Malyutina S; Kapa S; Schirmer H; Kudryavtsev AV; Noseworthy PA; Carter RE; Ryabikov A; Perel P; Friedman PA; Leon DA; Lopez-Jimenez F
Int J Cardiol; 2021 Apr; 329():130-135. PubMed ID: 33400971
[TBL] [Abstract][Full Text] [Related]
15. A prolonged QRS duration on surface electrocardiogram is a specific indicator of left ventricular dysfunction [see comment].
Murkofsky RL; Dangas G; Diamond JA; Mehta D; Schaffer A; Ambrose JA
J Am Coll Cardiol; 1998 Aug; 32(2):476-82. PubMed ID: 9708478
[TBL] [Abstract][Full Text] [Related]
16. Automatic Triage of 12-Lead ECGs Using Deep Convolutional Neural Networks.
van de Leur RR; Blom LJ; Gavves E; Hof IE; van der Heijden JF; Clappers NC; Doevendans PA; Hassink RJ; van Es R
J Am Heart Assoc; 2020 May; 9(10):e015138. PubMed ID: 32406296
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of preoperative electrocardiographic and chest radiographic screening for prediction of left ventricular dysfunction in patients with suspected neuromuscular disorders.
Clendenin DJ; Athiraman U; Zurakowski D; Shapiro F; Sethna NF
Anesth Analg; 2010 Apr; 110(4):1116-20. PubMed ID: 20357153
[TBL] [Abstract][Full Text] [Related]
18. Assessing and Mitigating Bias in Medical Artificial Intelligence: The Effects of Race and Ethnicity on a Deep Learning Model for ECG Analysis.
Noseworthy PA; Attia ZI; Brewer LC; Hayes SN; Yao X; Kapa S; Friedman PA; Lopez-Jimenez F
Circ Arrhythm Electrophysiol; 2020 Mar; 13(3):e007988. PubMed ID: 32064914
[TBL] [Abstract][Full Text] [Related]
19. Electrocardiographic ventricular repolarization parameters in chronic Chagas' disease as predictors of asymptomatic left ventricular systolic dysfunction.
Salles GF; Cardoso CR; Xavier SS; Sousa AS; Hasslocher-Moreno A
Pacing Clin Electrophysiol; 2003 Jun; 26(6):1326-35. PubMed ID: 12822748
[TBL] [Abstract][Full Text] [Related]
20. Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.
Kwon JM; Lee SY; Jeon KH; Lee Y; Kim KH; Park J; Oh BH; Lee MM
J Am Heart Assoc; 2020 Apr; 9(7):e014717. PubMed ID: 32200712
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
