Feeny, A., Chung, M., Madabhushi, A., Attia, Z., Cikes, M., Firouznia, M., Friedman, P., Kalscheur, M., Kapa, S., Narayan, S., Noseworthy, P., Passman, R., Perez, M., Peters, N., Piccini, J., Tarakji, K., Thomas, S., Trayanova, N., Turakhia, M., & Wang, P.(2020).Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.Circulation - Arrhythmia and Electrophysiology,13(8).
Feeny, A., Rickard, J., Trulock, K., Patel, D., Toro, S., Moennich, L., Varma, N., Niebauer, M., Gorodeski, E., Grimm, R., Barnard, J., Madabhushi, A., & Chung, M.(2020).Machine Learning of 12-lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients with Differential Outcomes.Circulation - Arrhythmia and Electrophysiology,13(7).
Feeny, A., Rickard, J., Patel, D., Toro, S., Trulock, K., Park, C., LaBarbera, M., Varma, N., Niebauer, M., Sinha, S., Gorodeski, E., Grimm, R., Ji, X., Barnard, J., Madabhushi, A., Spragg, D., & Chung, M.(2019).Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.Circulation - Arrhythmia and Electrophysiology,12(7).