Albert Feeny, MD
Clinical Instructor
Medicine
School of Medicine

Education & Training

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• MD Cleveland Clinic Lerner College of Medicine, Case Western Reserve University 2020
• BS Biomedical Engineering Johns Hopkins University 2015

Interests

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• digital health
• cardiology
• signal processing
• image processing
• artificial intelligence

Publications (11)

Top publication keywords:
VectorcardiographyDecision Support TechniquesMachine LearningFundus OculiSignal Processing, Computer-AssistedDiagnosis, Computer-AssistedUnsupervised Machine LearningElectrophysiologic Techniques, CardiacElectrocardiographyHeart RateHeart Conduction SystemCardiac Resynchronization TherapyHeart Rate DeterminationVentricular Function, LeftStroke Volume

• New Radiomic Markers of Pulmonary Vein Morphology Associated With Post-Ablation Recurrence of Atrial Fibrillation.
  IEEE journal of translational engineering in health and medicine 2021 Labarbera MA, Atta-Fosu T, Feeny AK, Firouznia M, Mchale M, Cantlay C, Roach T, Axtell A, Schoenhagen P, Barnard J, Smith JD, Van Wagoner DR, Madabhushi A, Chung MK
• Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.
  Circulation. Arrhythmia and electrophysiology 2021 Firouznia M, Feeny AK, LaBarbera MA, McHale M, Cantlay C, Kalfas N, Schoenhagen P, Saliba W, Tchou P, Barnard J, Chung MK, Madabhushi A
• Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.
  Circulation. Arrhythmia and electrophysiology 2020 Feeny AK, Chung MK, Madabhushi A, Attia ZI, Cikes M, Firouznia M, Friedman PA, Kalscheur MM, Kapa S, Narayan SM, Noseworthy PA, Passman RS, Perez MV, Peters NS, Piccini JP, Tarakji KG, Thomas SA, …
• Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.
  Circulation. Arrhythmia and electrophysiology 2020 Feeny AK, Rickard J, Trulock KM, Patel D, Toro S, Moennich LA, Varma N, Niebauer MJ, Gorodeski EZ, Grimm RA, Barnard J, Madabhushi A, Chung MK
• Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.
  Circulation. Arrhythmia and electrophysiology 2019 Feeny AK, Rickard J, Patel D, Toro S, Trulock KM, Park CJ, LaBarbera MA, Varma N, Niebauer MJ, Sinha S, Gorodeski EZ, Grimm RA, Ji X, Barnard J, Madabhushi A, Spragg DD, Chung MK

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• Patient-Specific Time-Varying Association between Spatial and Temporal Variability in Repolarization and High Sensitivity Troponin I.
  Computing in cardiology 2017 Tereshchenko LG, Feeny A
• Dynamic Changes in High-Sensitivity Cardiac Troponin I Are Associated with Dynamic Changes in Sum Absolute QRST Integral on Surface Electrocardiogram in Acute Decompensated Heart Failure.
  Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc 2016 Tereshchenko LG, Feeny A, Shelton E, Metkus T, Stolbach A, Mavunga E, Putman S, Korley FK
• Beat-to-beat determinants of the beat-to-beat temporal and spatial variability of repolarization.
  Journal of electrocardiology 2016 Feeny A, Tereshchenko LG
• Automated segmentation of geographic atrophy of the retinal epithelium via random forests in AREDS color fundus images.
  Computers in biology and medicine 2015 Feeny AK, Tadarati M, Freund DE, Bressler NM, Burlina P
• Repolarization lability measured on 10-second ECG by spatial TT' angle: reproducibility and agreement with QT variability.
  Journal of electrocardiology 2014 Feeny A, Han L, Tereshchenko LG
• Automated analysis of the 12-lead ECG in the emergency department: association between high-sensitivity cardiac troponin I and the cardiac electrical biomarker.
  Critical pathways in cardiology 2014 Tereshchenko LG, Gatz D, Feeny A, Korley FK