Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Sangha, Veer, Nargesi, Arash A., Dhingra, Lovedeep S., Khunte, Akshay, Mortazavi, Bobak J., Ribeiro, Antônio H., Banina, Evgeniya, Adeola, Oluwaseun, Garg, Nadish, Brandt, Cynthia A., Miller, Edward J., Ribeiro, Antonio Luiz P., Velazquez, Eric J., Giatti, Luana, Barreto, Sandhi M., Foppa, Murilo, Yuan, Neal, Ouyang, David, Krumholz, Harlan M., Khera, Rohan·2023·Circulation
Cited by (150)
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- Use of Artificial Intelligence Applied to Electrocardiogram for Diagnosis of Left Ventricular Systolic DysfunctionWilton Batista de Santana Júnior, Marcelo Martins Pinto Filho, Sandhi Maria Barreto, Murilo Foppa, Luana Giatti, Rohan Khera, Antônio Luiz Pinho Ribeiro · 2025 · Arquivos Brasileiros de Cardiologia
- Estimating Ejection Fraction from the 12 Lead ECG among Patients with Acute Heart FailureSunita Pokhrel Bhattarai, Dillon J. Dzikowicz, Ying Xue, Robert Block, Rebecca Tucker, Shilpa Bhandari, Victoria E Boulware, Breanne Stone, Mary G. Carey · 2024 · medRxiv
- Artificial Intelligence Applications for Electrocardiography to Define New Digital Biomarkers of Cardiovascular RiskVeer Sangha, Rohan Khera · 2024 · Circulation Cardiovascular Quality and Outcomes
- Sudden Cardiac Death Without Known Cardiovascular DiseaseNeal A. Chatterjee · 2025 · JACC. Clinical electrophysiology
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- Artificial Intelligence-Enhanced Electrocardiogram Models for Detection of Left Ventricular Dysfunction: A Comparison StudyPhilip Merio Croon, Machteld Boonstra, Cornelis P. Allaart, Bauke K. O. Arends, Lovedeep Singh Dhingra, Yu‐Chang Huang, Thomas P. Mast, Rohan Khera, Chang‐Fu Kuo, Joon‐myoung Kwon et al. · 2025 · medRxiv
- Test-Retest Reliability of Artificial Intelligence-Enhanced Electrocardiography: A Multi-Center StudyLovedeep Singh Dhingra, Philip Merio Croon, Bruno Batinica, Evangelos K. Oikonomou, Rohan Khera · 2025 · medRxiv
- 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)Lovedeep Singh Dhingra, Arya Aminorroaya, Veer Sangha, Akshay Khunte, Evangelos K. Oikonomou, Bobak J. Mortazavi, Robert L. McNamara, Jeph S. Herrin, F. Perry Wilson, Harlan M. Krumholz et al. · 2023 · medRxiv
- Preparing Physicians of the Future: Incorporating Data Science into Medical EducationRishi M. Shah, Kavya M. Shah, Piroz Bahar, Cornelius A. James · 2024 · Medical Science Educator
- Unlocking Hidden Risks: Harnessing Artificial Intelligence (AI) to Detect Subclinical Conditions from an Electrocardiogram (ECG)Emőke Pósán, Rod Richie · 2024 · Journal of Insurance Medicine
- Cross-Task Joint Network for Detecting Heart Failure with Reduced Ejection Fraction and Estimating Ejection Fraction from ElectrocardiogramsHaobo Zhang, Peng Zhang, Fei Ma, Lianying Chao, Wenqi Shan, Qiang Li · 2024 · International Conference on Bioinformatics and Computational Biology (ICBCB)
- Wearable-Echo-FM: An ECG-echo foundation model for single lead electrocardiographyElizabeth Knight, Evangelos K. Oikonomou, Arya Aminorroaya, Aline F Pedroso, Rohan Khera · 2025 · medRxiv
- MultiECGNet: A novel deep learning-based multi-format ensemble method for image-based electrocardiographic diagnosis of atrial fibrillationJustin Anh-Kiet Phan, George Parker, Nigel Hamilton Lovell, Rajesh Natarajan Subbiah, Jamie I. Vandenberg, Adam Parker Hill, Ahmadreza Argha · 2025 · medRxiv
- ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: A BIBLIOMETRIC ANALYSIS OF BRAZILIAN RESEARCHBrianda de Oliveira Ordonho Sígolo, Mara Flavia Mamedio Avallone, Rodolfo de Oliveira Medeiros, Cristiano Machado Galhardi, Viviane Canhizares Evangelista de Araújo, Paulo Vitor Cassaro Yasuda, Kelly Cristina Encide de Vasconcelos Donadai, Aline Maria Noli Mascarin, Juliana Pascon dos Santos, Lívia Faria Orso et al. · 2025 · Interciencia
- Empowering Heart Failure Management Through Artificial IntelligenceAlessandro Giaj Levra · 2025 · Springer eBooks
- Machine Learning in Cardio-Oncology: Innovation or Overhype?Christina Binder, Robert James Siegel, Paul P. Cheng, Samir R. Thadani, Andrew P. Ambrosy, David Ouyang · 2025 · Current Treatment Options in Cardiovascular Medicine
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- Diagnostic Accuracy of Machine Learning Algorithms in Electrocardiogram-Based Heart Failure Detection: A Systematic Review and Meta-AnalysisMustafa Eray Kılıç, Mehmet Emin Arayıcı, Oğuz Akbilgiç, Mehmet Birhan Yılmaz · 2025 · Canadian Journal of Cardiology
- Additional file 1 of Machine learning in precision diabetes care and cardiovascular risk predictionOikonomou, Evangelos K., Rohan Khera · 2024 · Figshare
- Detection and Prognostic Stratification of Left Ventricular Systolic Dysfunction in Left Bundle Branch Block Using an Artificial Intelligence-enabled ECGSooyeon Lee, Ah-Hyun Yoo, Sora Kang, Jong-Hwan Jang, Yong‐Yeon Jo, Jeong Min Son, Min Sung Lee, Ga In Han, Joon‐myoung Kwon, Hak Seung Lee et al. · 2025 · Research Square
- A Novel ECG Score for Predicting Left Ventricular Systolic Dysfunction in Stable Angina: A Pilot StudyNadir Emlek, Hüseyin Durak, Mustafa Çetin, Afag Özyıldız, Elif Ergül, Ahmet Seyda Yilmaz, Hakan DUMAN · 2026 · Diagnostics
- A Screening Method for Determining Left Ventricular Systolic Function Based on Spectral Analysis of a Single-Channel Electrocardiogram Using Machine Learning AlgorithmsN. Ya. Kuznetsova, Aleksandr Suvorov, Daria G. Gognieva, Zaki Z. A. Fashafsha, Dmitrii Podgalo, Меситская Динара Фератовна, Dmitry Shchekochikhin, Седов Всеволод Парисович, P. Sh. Chomakhidze, Philipp Kopylov · 2026 · Diagnostics
- Detection and prognostic stratification of left ventricular systolic dysfunction in left bundle branch block using an artificial intelligence–enabled electrocardiographySoo Youn Lee, Ah-Hyun Yoo, Sora Kang, Jong-Hwan Jang, Yong‐Yeon Jo, Jeong Min Son, Min Sung Lee, Ga In Han, Joon‐myoung Kwon, Hak Seung Lee et al. · 2026 · Journal of Cardiovascular Imaging
- Digital Stethoscope–Derived Single-Lead Electrocardiogram and Artificial Intelligence to Detect Low Ejection Fraction: A Multicenter Observational StudyDeepak Prakash Borde, Shreedhar S. Joshi, Kumar Chidambaram, Amish Jasapara, Ashwini Thimmarayappa, Bhargava Venkata Devarakonda, Sushmit S Kamat, Uday Gandhe, Geetha Muniraj, Samrat Sukumar Madanaik et al. · 2026 · Journal of Cardiothoracic and Vascular Anesthesia
- Electrocardiographic phenotypes of a representative subset of the French general population: ECGs at inclusion in the CONSTANCES cohortFabrice Extramiana, Thien-vu Nguyen Minh Tuan, Martino Vaglio, Anna Ozguler, Peter W. Macfarlane, Pierre Maison‐Blanche, Fabio Badilini · 2026 · Archives of cardiovascular diseases
- MultiECGNet: Evaluation of a Deep-Learning Ensemble Method for Image-Based 12-Lead Electrocardiographic Detection of Atrial FibrillationGeorge Parker, Justin Anh-Kiet Phan, Nigel Hamilton Lovell, Rajesh Natarajan Subbiah, Jamie I. Vandenberg, Adam Parker Hill, Ahmadreza Argha · 2026 · CJC Open
- Integration of artificial intelligence technologies in electrocardiogram analysis: current trends and prospects. A reviewElena Vladimirovna Khazova, Шулаева Полина Александровна, Савзиханова Рената Рашидовна, MARIA I. MALKOVA · 2026 · Russian Journal of Cardiology
- A teacher–student deep learning framework for enhanced clinical screening of heart failure from 12-lead electrocardiogramsEnhan Liu, Ying Liu, Zihang Wang, Han Zhou, X F Wang · 2026 · Physiological Measurement
- Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational StudyLei Pan, Siyuan Li, Jiayu Huo, Zilong Xiao, Ziqing Yu, Juecheng Chen, You Zhou, Zhixing Li, Beijian Zhang, Xiao Li et al. · 2026 · medRxiv
- Artificial intelligence-enabled electrocardiography for detection of left ventricular systolic dysfunction: A systematic review and meta-analysisLiam Z. Munir, Adele Cai, April Cai, Connor Debs, Daniel Jesudason, Alasdair Leslie, Daud Mutahar, Ammar Zaka, Joshua G. Kovoor, Aashray Gupta · 2026 · International Journal of Cardiology Innovations
- The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to ImplementationPhilip Merio Croon, Lovedeep Singh Dhingra, Aline F. Pedroso, Rohan Khera · 2026 · Current Heart Failure Reports
- Systematic reviews of medical machine learning: limitations of pooling AUCsAmulya Gupta, Rahel M. Sileshi, Jeffrey Thompson, Amit Noheria · 2026 · European Heart Journal - Digital Health
- Recent Advances in the Management of Heart Failure, Including the Role of AI and Advances in Gene TherapyLakshmi Prasanna Vaishnavi Kattamuri, Kunal Sharma, Debabrata Mukherjee · 2026 · International Journal of Angiology
- From Detection to Differentiation: The Evolving Role of Artificial Intelligence–Enabled ECG in Heart Failure CareBruno Batinica, Aline F Pedroso, Rohan Khera · 2026 · Journal of the American Heart Association
- Artificial intelligence enabled electrocardiography and digital auscultation for detection of peripartum cardiomyopathy and pregnancy-associated left ventricular systolic dysfunction: A systematic review and meta-analysis of diagnostic accuracy studiesRailla Raquel Albino dos Santos Silva, P. K. A. Batista, Marcela Vasconcelos Montenegro, Giulia Caldeira Gaelzer, Larissa Araújo de Lucena, Maria Eduarda Molinari, Juan Peres de Oliveira, Ramon Huntermann, Mushrin Malik, Mrunalini Dandamudi et al. · 2026 · European Journal of Obstetrics & Gynecology and Reproductive Biology
- A Hybrid Meta-Learning Framework Integrating ECG, Cine-MRI, and Biomarkers for Heart Failure PredictionWafa Baccouch, Narjes Benameur, Abdulrahman A. Alsayyari, Zeyad Alawaji, Amani Kallel, Abderrazak Jemai, Salam Labidi · 2026 · Technologies
- Utility of ECG-Vision for Surveillance of Left Ventricular Dysfunction in Patients With Hypertrophic Cardiomyopathy Initiated on MavacamtenAakash A. Bavishi, John Fritzlen, Marybeth Soutar, Kutaiba Nazif, Margaret Kurnides, Heather Speer, Glenda Oyarce, Karen Richards, Cara Flahive, Matthew W. Martinez · 2026 · Circulation Heart Failure
- The electrocardiogram and artificial intelligence: turning signals into insights in pediatric and congenital heart diseaseDavid M. Leone, Ivor B. Asztalos, Joshua Mayourian · 2026 · Current Opinion in Pediatrics
- Preventable Majority: Global Health Implications of the Second Universal Definition of Heart FailureJasper Tromp · 2026 · Circulation
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- Role of Polygenic Risk Scores and Artificial IntelligenceMaddalena Rossi, Ilaria Gandin, Giulia Barbati, Federico Garoia, Matteo Dal Ferro, Marta Gigli, Gianfranco Sinagra · 2026 · Springer eBooks
- A lightweight ECG model with teacher-derived integrated medical semantic preservation for cardiac disease screeningShuangquan Ma, Wenyao Wang, Jie Yang, Jun Wen, Yawei Wang, Yida Tang · 2026 · International Journal of Medical Informatics
- Lead-adaptive self-supervised ECG representation model for multi-scenario ECG monitoringZhiyuan Li, Yuanyuan Tian, Xiaoyang Wei, Mengxiao Wang, Yanrui Jin, Zehua Shi, Tang Xiaohan, Yushun Liu, Liqun Zhao, Chengliang Liu · 2026 · Biomedical Signal Processing and Control