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Journal of the American Heart Association|January 19, 2024
Artificial Intelligence of Arterial Doppler Waveforms to Predict Major Adverse Outcomes Among Patients Evaluated for Peripheral Artery DiseaseRobert D McBane, Dennis H Murphree, David Liedl, et al.International Journal of Cardiology|January 5, 2021
External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunctionItzhak Zachi Attia, Andrew S Tseng, Ernest Diez Benavente, et al.Journal of the American College of Cardiology|May 7, 2011
Central obesity and survival in subjects with coronary artery disease: a systematic review of the literature and collaborative analysis with individual subject dataThais Coutinho, Kashish Goel, Daniel Corrêa de Sá, et al.Vascular Medicine (London, England)|May 10, 2022
Artificial intelligence for the evaluation of peripheral artery disease using arterial Doppler waveforms to predict abnormal ankle-brachial indexRobert D McBane, Dennis H Murphree, David Liedl, et al.Mayo Clinic Proceedings. Digital Health|April 10, 2025
Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac UltrasoundD M Anisuzzaman, Jeffrey G Malins, John I Jackson, et al.Mayo Clinic Proceedings|May 7, 2020
Artificial Intelligence in Cardiology: Present and FutureFrancisco Lopez-Jimenez, Zachi Attia, Adelaide M Arruda-Olson, et al.European Heart Journal. Digital Health|January 7, 2022
Detecting cardiomyopathies in pregnancy and the postpartum period with an electrocardiogram-based deep learning modelDemilade A Adedinsewo, Patrick W Johnson, Erika J Douglass, et al.NPJ Digital Medicine|February 26, 2026
Multicenter validation of AI-enabled ECG for pediatric biological sex predictionDonnchadh O'Sullivan, Joshua Mayourian, Scott Anjewierden, et al.European Heart Journal. Imaging Methods and Practice|July 21, 2025
A deep learning model for classifying left ventricular enlargement for both transthoracic echocardiograms and handheld cardiac ultrasoundJeffrey G Malins, D M Anisuzzaman, John I Jackson, et al.The Lancet. Digital Health|March 27, 2025
Snapshot artificial intelligence-determination of ejection fraction from a single frame still image: a multi-institutional, retrospective model development and validation studyJeffrey G Malins, D M Anisuzzaman, John I Jackson, et al.Pageof 50