Found: 19
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Deep learning-derived cardiovascular age shares a genetic basis with other cardiac phenotypes.
- Published in:
- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-27254-z
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- Article
Artificial intelligence–augmented electrocardiography for left ventricular systolic dysfunction in patients undergoing high-sensitivity cardiac troponin T.
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- European Heart Journal: Acute Cardiovascular Care, 2023, v. 12, n. 2, p. 106, doi. 10.1093/ehjacc/zuac156
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- Article
Mortality risk stratification using artificial intelligence-augmented electrocardiogramin cardiac intensive care unit patients.
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- European Heart Journal: Acute Cardiovascular Care, 2021, v. 10, n. 5, p. 532, doi. 10.1093/ehjacc/zuaa021
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- Article
ChatGPT hallucinating: can it get any more humanlike?
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- European Heart Journal, 2024, v. 45, n. 5, p. 321, doi. 10.1093/eurheartj/ehad766
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- Article
Explainable AI for ECG-based prediction of cardiac resynchronization therapy outcomes: learning from machine learning?
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- European Heart Journal, 2023, v. 44, n. 8, p. 693, doi. 10.1093/eurheartj/ehac733
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- Article
Application of artificial intelligence to the electrocardiogram.
- Published in:
- European Heart Journal, 2021, v. 42, n. 46, p. 4717, doi. 10.1093/eurheartj/ehab649
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- Article
Electrocardiogram screening for aortic valve stenosis using artificial intelligence.
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- European Heart Journal, 2021, v. 42, n. 30, p. 2885, doi. 10.1093/eurheartj/ehab153
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- Article
Safety and compatibility of smart device heart rhythm monitoring in patients with cardiovascular implantable electronic devices.
- Published in:
- Journal of Cardiovascular Electrophysiology, 2019, v. 30, n. 9, p. 1602, doi. 10.1111/jce.14024
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- Article
Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.
- Published in:
- Journal of Cardiovascular Electrophysiology, 2019, v. 30, n. 5, p. 668, doi. 10.1111/jce.13889
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- Article
Artificial Intelligence Applied to Cardiomyopathies: Is It Time for Clinical Application?
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- Current Cardiology Reports, 2022, v. 24, n. 11, p. 1547, doi. 10.1007/s11886-022-01776-4
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- Article
Current and future implications of the artificial intelligence electrocardiogram: the transformation of healthcare and attendant research opportunities.
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- Cardiovascular Research, 2022, v. 118, n. 3, p. e23, doi. 10.1093/cvr/cvac006
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- Article
Pragmatic considerations for fostering reproducible research in artificial intelligence.
- Published in:
- NPJ Digital Medicine, 2019, v. 2, p. N.PAG, doi. 10.1038/s41746-019-0120-2
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- Publication type:
- Article
Predictive Value of Artificial Intelligence-Enabled Electrocardiography in Patients With Takotsubo Cardiomyopathy.
- Published in:
- Journal of the American Heart Association, 2024, v. 13, n. 5, p. 1, doi. 10.1161/JAHA.123.031859
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- Article
Novel Bloodless Potassium Determination Using a Signal-Processed Single-Lead ECG.
- Published in:
- 2016
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- Publication type:
- journal article
Machine‐learning‐derived heart and brain age are independently associated with cognition.
- Published in:
- European Journal of Neurology, 2023, v. 30, n. 9, p. 2611, doi. 10.1111/ene.15902
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- Article
Migraine with aura associates with a higher artificial intelligence: ECG atrial fibrillation prediction model output compared to migraine without aura in both women and men.
- Published in:
- Headache: The Journal of Head & Face Pain, 2022, v. 62, n. 8, p. 939, doi. 10.1111/head.14339
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- Article
Automated T-wave analysis can differentiate acquired QT prolongation from congenital long QT syndrome.
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- 2017
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- Publication type:
- journal article
Noninvasive assessment of dofetilide plasma concentration using a deep learning (neural network) analysis of the surface electrocardiogram: A proof of concept study.
- Published in:
- PLoS ONE, 2018, v. 13, n. 8, p. 1, doi. 10.1371/journal.pone.0201059
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- Article
Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients–The SaMi-Trop cohort.
- Published in:
- PLoS Neglected Tropical Diseases, 2021, v. 15, n. 12, p. 1, doi. 10.1371/journal.pntd.0009974
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- Article