Siontis, Konstantinos C.
Mayo Clinic
12 papers on CoChatORCID 0000-0002-6658-0971
Most cited papers
- Verified
Artificial intelligence-enhanced electrocardiography in cardiovascular disease management
Siontis, K. C., Noseworthy, P. A., Attia, Z. I., & Friedman, P. A. (2021) · Nature Reviews Cardiology
ECG Monitoring and AnalysisArtificial Intelligence in Healthcare and Education
Cited by 914
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Artificial intelligence–enabled electrocardiograms for identification of patients with low ejection fraction: a pragmatic, randomized clinical trial
Yao, X., Rushlow, D. R., Inselman, J. W., McCoy, R. G., Thacher, T. D., Behnken, E. M., Bernard, M. E., Rosas, S. L., Akfaly, A., Misra, A., et al. (2021) · Nature Medicine
Artificial Intelligence in Healthcare and EducationECG Monitoring and Analysis
Cited by 424
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Detection of hypertrophic cardiomyopathy using a convolutional neural network-enabled electrocardiogram
Ko, W.-Y., Siontis, K. C., Attia, Z. I., Carter, R. E., Kapa, S., Ommen, S. R., Demuth, S. J., Ackerman, M. J., Gersh, B. J., Arruda-Olson, A. M., et al. (2020) · Journal of the American College of Cardiology
ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias
Cited by 404
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Comparisons of established risk prediction models for cardiovascular disease: systematic review
Siontis, G. C. M., Tzoulaki, I., Siontis, K. C., & Ioannidis, J. P. A. (2012) · BMJ
Health Promotion and Cardiovascular PreventionLipoproteins and Cardiovascular Health
Cited by 300
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Artificial intelligence-guided screening for atrial fibrillation using electrocardiogram during sinus rhythm: a prospective non-randomised interventional trial
Noseworthy, P. A., Attia, Z. I., Behnken, E. M., Giblon, R. E., Bews, K. A., Liu, S., Gosse, T. A., Linn, Z. D., Deng, Y., Yin, J., et al. (2022) · The Lancet
Atrial Fibrillation Management and OutcomesECG Monitoring and Analysis
Cited by 257
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Prospective evaluation of smartwatch-enabled detection of left ventricular dysfunction
Attia, Z. I., Harmon, D. M., Dugan, J., Manka, L., Lopez-Jimenez, F., Lerman, A., Siontis, K. C., Noseworthy, P. A., Yao, X., Klavetter, E. W., et al. (2022) · Nature Medicine
ECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring
Cited by 154
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Home Blood Pressure as a Cardiovascular Outcome Predictor: It’s Time to Take This Method Seriously
Stergiou, G. S., Siontis, K. C. M., & Ioannidis, J. P. A. (2010) · Hypertension
Blood Pressure and Hypertension StudiesCardiovascular Health and Disease Prevention
Cited by 84
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Replication, Duplication, and Waste in a Quarter Million Systematic Reviews and Meta-Analyses
Siontis, K. C., & Ioannidis, J. P. A. (2018) · Circulation: Cardiovascular Quality and Outcomes
Meta-analysis and systematic reviewsscientometrics and bibliometrics research
Cited by 73
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How will machine learning inform the clinical care of atrial fibrillation?
Siontis, K. C., Yao, X., Pirruccello, J. P., Philippakis, A. A., & Noseworthy, P. A. (2020) · Circulation Research
Atrial Fibrillation Management and OutcomesMachine Learning in Healthcare
Cited by 61
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Hypertrophic cardiomyopathy detection with artificial intelligence electrocardiography in international cohorts: an external validation study
Siontis, K. C., Wieczorek, M. A., Maanja, M., Hodge, D. O., Kim, H.-K., Lee, H.-J., Lee, H., Lim, J., Park, C. S., Ariga, R., et al. (2024) · European Heart Journal - Digital Health
ECG Monitoring and AnalysisCardiomyopathy and Myosin Studies
Cited by 44
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Assessment of disease status and treatment response with artificial Intelligence- Enhanced electrocardiography in obstructive hypertrophic cardiomyopathy
Tison, G. H., Siontis, K. C., Abreau, S., Attia, Z., Agarwal, P., Balasubramanyam, A., Li, Y., Sehnert, A. J., Edelberg, J. M., Friedman, P. A., et al. (2022) · Journal of the American College of Cardiology
Cardiomyopathy and Myosin StudiesECG Monitoring and Analysis
Cited by 42
- Verified
Saliency Maps Provide Insights into Artificial Intelligence-Based Electrocardiography Models for Detecting Hypertrophic Cardiomyopathy
Siontis, K. C., Suárez, A. B., Sehrawat, O., Ackerman, M. J., Attia, Z. I., Friedman, P. A., Noseworthy, P. A., & Maanja, M. (2023) · Journal of Electrocardiology
ECG Monitoring and AnalysisCardiac electrophysiology and arrhythmias
Cited by 38
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