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Showing 26 publications by Veer Sangha

Artificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT

Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al. (2026), European Heart Journal – Digital Health, 7(3), ztag031

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@article{artificialintel-2026/2,
  title={Artificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT},
  author={Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al.},
  journal={European Heart Journal – Digital Health},
  volume={7},
  number={ztag031},
  pages={ztag031},
  publisher={Oxford University Press},
  year = "2026"
}

Artificial intelligence-enabled electrocardiography and echocardiography to track preclinical progression of transthyretin amyloid cardiomyopathy

Oikonomou EK, Sangha V, Vasisht Shankar S, Coppi A, Krumholz HM et al. (2025), European Heart Journal, ehaf450

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@article{artificialintel-2025/7,
  title={Artificial intelligence-enabled electrocardiography and echocardiography to track preclinical progression of transthyretin amyloid cardiomyopathy},
  author={Oikonomou EK, Sangha V, Vasisht Shankar S, Coppi A, Krumholz HM et al.},
  journal={European Heart Journal},
  pages={ehaf450},
  publisher={Oxford University Press (OUP)},
  year = "2025"
}

Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning

Sangha V, Dhingra LS, Aminorroaya A, Croon PM, Sikand NV et al. (2025), Nature Cardiovascular Research, 1-10

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@article{identificationo-2025/7,
  title={Identification of hypertrophic cardiomyopathy on electrocardiographic images with deep learning},
  author={Sangha V, Dhingra LS, Aminorroaya A, Croon PM, Sikand NV et al.},
  journal={Nature Cardiovascular Research},
  pages={1-10},
  publisher={Springer Nature},
  year = "2025"
}

Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study

Dhingra LS, Aminorroaya A, Sangha V, Pedroso AF, Asselbergs FW et al. (2025), European Heart Journal, 46(11), 1044-1053

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@article{heartfailureris-2025/1,
  title={Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study},
  author={Dhingra LS, Aminorroaya A, Sangha V, Pedroso AF, Asselbergs FW et al.},
  journal={European Heart Journal},
  volume={46},
  pages={1044-1053},
  publisher={Oxford University Press},
  year = "2025"
}

Artificial Intelligence Applications for Electrocardiography to Define New Digital Biomarkers of Cardiovascular Risk.

Sangha V & Khera R (2024), Circulation Cardiovascular Quality and Outcomes, e011483

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@article{artificialintel-2024/11,
  title={Artificial Intelligence Applications for Electrocardiography to Define New Digital Biomarkers of Cardiovascular Risk.},
  author={Sangha V & Khera R},
  journal={Circulation Cardiovascular Quality and Outcomes},
  pages={e011483},
  publisher={Wolters Kluwer},
  year = "2024"
}

Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.

Oikonomou EK, Sangha V, Dhingra LS, Aminorroaya A, Coppi A et al. (2024), Circulation. Cardiovascular quality and outcomes

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@article{artificialintel-2024/9,
  title={Artificial Intelligence-Enhanced Risk Stratification of Cancer Therapeutics-Related Cardiac Dysfunction Using Electrocardiographic Images.},
  author={Oikonomou EK, Sangha V, Dhingra LS, Aminorroaya A, Coppi A et al.},
  journal={Circulation. Cardiovascular quality and outcomes},
  year = "2024"
}

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al. (2024), Journal of the American Medical Informatics Association, 31(4), 855-865

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@article{biometriccontra-2024/4,
  title={Biometric contrastive learning for data-efficient deep learning from electrocardiographic images},
  author={Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al.},
  journal={Journal of the American Medical Informatics Association},
  volume={31},
  pages={855-865},
  publisher={Oxford University Press (OUP)},
  year = "2024"
}

Augmenting reality in echocardiography

Sangha V (2024), Heart, 110(6), 387-388

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@article{augmentingreali-2024/3,
  title={Augmenting reality in echocardiography},
  author={Sangha V},
  journal={Heart},
  volume={110},
  pages={387-388},
  publisher={BMJ},
  year = "2024"
}

Biometric contrastive learning for data-efficient deep learning from electrocardiographic images

Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al. (2024), medRxiv, 31(4), 855-865

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@inproceedings{biometriccontra-2024/1,
  title={Biometric contrastive learning for data-efficient deep learning from electrocardiographic images},
  author={Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al.},
  pages={855-865},
  year = "2024"
}

Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al. (2023), Circulation, 148(9), 765-777

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@article{detectionofleft-2023/8,
  title={Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images},
  author={Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al.},
  journal={Circulation},
  volume={148},
  pages={765-777},
  publisher={Wolters Kluwer},
  year = "2023"
}

Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices

Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al. (2023), npj Digital Medicine, 6(1), 124-124

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@article{detectionofleft-2023/7,
  title={Detection of left ventricular systolic dysfunction from single-lead electrocardiography adapted for portable and wearable devices},
  author={Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al.},
  journal={npj Digital Medicine},
  volume={6},
  number={124},
  pages={124-124},
  publisher={Nature Research},
  year = "2023"
}

County-level variation in cardioprotective antihyperglycemic prescribing among medicare beneficiaries

Hanna J, Nargesi AA, Essien UR, Sangha V, Lin Z et al. (2022), American Journal of Preventive Cardiology, 11, 100370

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@article{countylevelvari-2022/9,
  title={County-level variation in cardioprotective antihyperglycemic prescribing among medicare beneficiaries},
  author={Hanna J, Nargesi AA, Essien UR, Sangha V, Lin Z et al.},
  journal={American Journal of Preventive Cardiology},
  volume={11},
  pages={100370},
  publisher={Elsevier},
  year = "2022"
}

A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations

Khera R, Mortazavi BJ, Sangha V, Warner F, Patrick Young H et al. (2022), npj Digital Medicine, 5(1), 27-27

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@article{amulticentereva-2022/3,
  title={A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations},
  author={Khera R, Mortazavi BJ, Sangha V, Warner F, Patrick Young H et al.},
  journal={npj Digital Medicine},
  volume={5},
  number={27},
  pages={27-27},
  publisher={Nature Research},
  year = "2022"
}

Automated multilabel diagnosis on electrocardiographic images and signals

Sangha V, Mortazavi BJ, Haimovich AD, Ribeiro AH, Brandt CA et al. (2022), Nature Communications, 13(1), 1583-1583

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@article{automatedmultil-2022/3,
  title={Automated multilabel diagnosis on electrocardiographic images and signals},
  author={Sangha V, Mortazavi BJ, Haimovich AD, Ribeiro AH, Brandt CA et al.},
  journal={Nature Communications},
  volume={13},
  number={1583},
  pages={1583-1583},
  publisher={Nature Research},
  year = "2022"
}

Patterns of Prescribing Sodium-Glucose Cotransporter-2 Inhibitors for Medicare Beneficiaries in the United States

Sangha V, Lipska K, Lin Z, Inzucchi SE, McGuire DK et al. (2021), Circulation Cardiovascular Quality and Outcomes, 14(2), e008381

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@article{patternsofpresc-2021/12,
  title={Patterns of Prescribing Sodium-Glucose Cotransporter-2 Inhibitors for Medicare Beneficiaries in the United States},
  author={Sangha V, Lipska K, Lin Z, Inzucchi SE, McGuire DK et al.},
  journal={Circulation Cardiovascular Quality and Outcomes},
  volume={14},
  pages={e008381},
  publisher={Wolters Kluwer},
  year = "2021"
}

Biometric Contrastive Learning for Data-Efficient Deep Learning from Electrocardiographic Images

Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al. (0)

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@misc{biometriccontra-/,
  title={Biometric Contrastive Learning for Data-Efficient Deep Learning from Electrocardiographic Images},
  author={Sangha V, Khunte A, Holste G, Mortazavi BJ, Wang Z et al.}
}

Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices

Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al. (0)

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@misc{detectionofleft-/,
  title={Detection of Left Ventricular Systolic Dysfunction from Single-Lead Electrocardiography Adapted for Wearable Devices},
  author={Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al.}
}

A Multicenter Evaluation of the Impact of Therapies on Deep Learning-based Electrocardiographic Hypertrophic Cardiomyopathy Markers

Dhingra LS, Sangha V, Aminorroaya A, Bryde R, Gaballa A et al. (0)

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@misc{amulticentereva-/,
  title={A Multicenter Evaluation of the Impact of Therapies on Deep Learning-based Electrocardiographic Hypertrophic Cardiomyopathy Markers},
  author={Dhingra LS, Sangha V, Aminorroaya A, Bryde R, Gaballa A et al.}
}

Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images

Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al. (0)

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BibTeX View PDF 
@misc{detectionofleft-/,
  title={Detection of Left Ventricular Systolic Dysfunction from Electrocardiographic Images},
  author={Sangha V, Nargesi AA, Dhingra LS, Khunte A, Mortazavi BJ et al.}
}

Identification of Hypertrophic Cardiomyopathy on Electrocardiographic Images with Deep Learning

Sangha V, Dhingra LS, Oikonomou E, Aminorroaya A, Sikand NV et al. (0)

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@misc{identificationo-/,
  title={Identification of Hypertrophic Cardiomyopathy on Electrocardiographic Images with Deep Learning},
  author={Sangha V, Dhingra LS, Oikonomou E, Aminorroaya A, Sikand NV et al.}
}

Deep Learning-enabled Detection of Aortic Stenosis from Noisy Single Lead Electrocardiograms

Aminorroaya A, Dhingra LS, Sangha V, Oikonomou EK, Khunte A et al. (0)

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@misc{deeplearningena-/,
  title={Deep Learning-enabled Detection of Aortic Stenosis from Noisy Single Lead Electrocardiograms},
  author={Aminorroaya A, Dhingra LS, Sangha V, Oikonomou EK, Khunte A et al.}
}

Study Protocol for the Pilot Evaluation for SMartphone-adaptable Artificial Intelligence for PRediction and DeTection of Left Ventricular Systolic Dysfunction (The SMART-LV Pilot Study Protocol)

Dhingra LS, Aminorroaya A, Sangha V, Khunte A, Oikonomou EK et al. (0)

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@misc{studyprotocolfo-/,
  title={Study Protocol for the Pilot Evaluation for SMartphone-adaptable Artificial Intelligence for PRediction and DeTection of Left Ventricular Systolic Dysfunction (The SMART-LV Pilot Study Protocol)},
  author={Dhingra LS, Aminorroaya A, Sangha V, Khunte A, Oikonomou EK et al.}
}

Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care

Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al. (0)

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@misc{automateddiagno-/,
  title={Automated Diagnostic Reports from Images of Electrocardiograms at the Point-of-Care},
  author={Khunte A, Sangha V, Oikonomou EK, Dhingra LS, Aminorroaya A et al.}
}

Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study

Dhingra LS, Aminorroaya A, Sangha V, Camargos AP, Asselbergs FW et al. (0)

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@misc{scalableriskstr-/,
  title={Scalable Risk Stratification for Heart Failure Using Artificial Intelligence applied to 12-lead Electrocardiographic Images: A Multinational Study},
  author={Dhingra LS, Aminorroaya A, Sangha V, Camargos AP, Asselbergs FW et al.}
}

Artificial Intelligence Applied to Electrocardiographic Images for Scalable Screening of Transthyretin Amyloid Cardiomyopathy

Sangha V, Oikonomou EK & Khera R (0)

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@misc{artificialintel-/,
  title={Artificial Intelligence Applied to Electrocardiographic Images for Scalable Screening of Transthyretin Amyloid Cardiomyopathy},
  author={Sangha V, Oikonomou EK & Khera R}
}

An Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD

Dhingra LS, Aminorroaya A, Sangha V, Pedroso AF, Shankar SV et al. (0)

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@misc{anensembledeepl-/,
  title={An Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images: PRESENT SHD},
  author={Dhingra LS, Aminorroaya A, Sangha V, Pedroso AF, Shankar SV et al.}
}