23+ peer-reviewed publications in leading cardiology journals validating our AI-ECG technology for early detection of heart disease.
"\nA foundational vision transformer improves diagnostic performance for electrocardiograms\nJune 6, 2023\n\nAkhil Vaid, Joy Jiang, Ashwin Sawant, Stamatios Lerakis, Edgar Argulian, Yuri Ahuja, Joshua...
Read Publication"\nA Novel ECG-Based Deep Learning Algorithm to Predict Cardiomyopathy in Patients With Premature Ventricular Complexes\nAugust 9, 2023\nJoshua Lampert, Akhil Vaid, William Whang, Jacob Koruth, Marc A...
Read Publication"\nDevelopment of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening\nNovember 25, 2021\nSulaiman S Somani1, Hossein Honarvar1, Sukrit Narula2, Isot...
Read Publication"\nDigital Phenotyping of Myocardial Dysfunction With 12-Lead ECG Tiptoeing Into the Future With Machine Learning* (JACC Editorial) – Vol. 76, No.
Read Publication"\nDigital Phenotyping of Myocardial Dysfunction With 12-Lead ECG Tiptoeing Into the Future With Machine Learning* (JACC Editorial) – Vol. 76, No.
Read Publication"\nElectrocardiogram-Based Machine Learning Emulator Model for Predicting Novel Echocardiography-Derived Phenogroups for Cardiac Risk-Stratification: A Prospective Multicenter Cohort Study – Advocate ...
Read Publication"\nHeartSciences announces Baker Institute ECG LV Dysfunction Study Results Published in JACC – Cardiovascular Imaging\nJune 28, 2021\n\nDemonstrates Potential for ECG screening for LV dysfunction in ...
Read Publication"\nHeartSciences Announces Clinical Study Results in the Journal of the American College of Cardiology (JACC)\nAugust 18, 2020\n\nStudy demonstrates MyoVista® wavECG™ ability to cost-effectively detec...
Read Publication"\nHeartSciences Announces Pilot Study Results published in launch edition of European Heart Journal-Digital Health\nDecember 10, 2020\nThe study demonstrates MyoVista® wavECG™ ability to predict abno...
Read Publication"\nMachine learning applied to energy waveform ECG for prediction of subclinical myocardial dysfunction – European Heart Journal October 2019\nOctober 21, 2019\n\nUsing ML algorithms, sensitivity of e...
Read Publication"\nMachine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features (JACC) – Vol. 76 No.
Read Publication"\nMachine Learning Enabled ECG Wavelet Analysis as a Gatekeeper for Appropriate Evaluation of Diastolic Function by Echocardiography – JASE June 2017\nJune 1, 2017\n\nThe prediction performance of co...
Read Publication"\nMachine Learning for ECG Diagnosis of LV Dysfunction (JACC Editorial) – June, 2021\nJune 1, 2018\n\nSince the first report of the human electrocardiogram (ECG) by Augustus Waller in 1887 (1), its d...
Read Publication"\nMachine Learning of ECG Waveforms to Improve Selection for Testing for Asymptomatic Left Ventricular Dysfunction Prompt (JACC) – June, 2021\nJune 1, 2021\n\nTo identify whether machine learning fro...
Read Publication"\nMulti-center retrospective cohort study applying deep learning to electrocardiograms to identify left heart valvular dysfunction\nFebruary 14, 2023\n\nAkhil Vaid, Edgar Argulian, Stamatios Lerakis,...
Read Publication"\nPrediction of Abnormal Myocardial Relaxation From Signal Processed Surface ECG – JACC April 2018\nApril 1, 2018\n\nThe spECG provides a robust prediction of abnormal myocardial relaxation.
Read Publication"\nPrediction of coronary artery calcium scoring from surface electrocardiogram in atherosclerotic cardiovascular disease: a pilot study (ESC) – November 23, 2020\nNovember 23, 2020\n\nCoronary artery...
Read Publication"\nQuantitative Prediction of Right Ventricular Size and Function From the ECG\nDecember 29, 2023\n\nOriginally published 29 Dec 2023 https://doi.org/10.1161/JAHA.123.
Read Publication"\nScreening for cardiac relaxation abnormalities using surface ECG wavelets for identifying high-risk cardiac phenotypic abnormalities – European Heart Journal October 2019\nOctober 1, 2019\nM Piccir...
Read Publication"\nSurface ECG-Based Machine Learning Model for Predicting Patient Subgroup at a High Risk for Major Adverse Cardiac Events – JACC May 2021\nMay 16, 2021\n\nECG-derived machine-learning models provide...
Read Publication"\nUse of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus\nMarch 7, 2024\nAbstract\nBackground\n\nRecent guidelines p...
Read Publication"\nUsing Deep-Learning Algorithms to Simultaneously Identify Right and Left Ventricular Dysfunction From the Electrocardiogram\nMarch 15, 2022\n\nAkhil Vaid 1, Kipp W Johnson 2, Marcus A Badgeley 3, S...
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