Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images

Cited by (150)

Items 101–150 of 150

  1. Deep Learning Model Using Transfer Learning for Detecting Left Ventricular Systolic Dysfunction: Retrospective Algorithm Development and Validation Study
    Sungjae Lee, Jung‐Woo Son, Sung‐Ai Kim, Min‐Soo Ahn, Sang Jun Lee, Sang-Jin Han, Taehyun Joo, Yeongyeon Na, Sunghoon Joo, Hyun Jin Ahn et al. · 2026 · JMIR Medical Informatics
  2. Association of Serum Vitamin D Levels and Ventricular Dysfunction Among Patients With Acute ST-Segment Elevation Myocardial Infarction in a Tertiary Care Hospital
    Kartikeya Arora, Sheryl Elsa Abraham, Rahul Chopra, Manish P Parmar · 2026 · Cureus
  3. Artificial Intelligence in Heart Failure with Preserved Ejection Fraction
    Xinyi Li, Chunyan Xu, Wenhui Deng, Yu Zhang, C X Liu, L L Gao, Mengmeng Ji, Qing He, Zhenni Wu, Shuxuan Qin et al. · 2026 · Diagnostics
  4. Artificial intelligence and the evolution of the electrocardiogram: from cardiovascular diagnostic tool to digital biomarker
    Ryan B Choi, Rohan Khera · 2026 · European Heart Journal - Digital Health
  5. AHA/ACC/ESC/WHF Expert Consensus Document: Second Universal Definition of Heart Failure (2026)
    Mary Norine Walsh, Lars Køber, Karen S Sliwa, Marianna Adamo, Anubha Agarwal, Amitava Banerjee, Biykem Bozkurt, Maja Čikeš, Albertino Damasceno, Akshay Suvas Desai et al. · 2026 · Global Heart
  6. Deep Learning Interpretation of Echocardiographic Images Predicts Incident Heart Failure and Subtypes
    Emily S. Lau, Tal Shnitzer, Athar Roshandelpoor, Sam Freesun Friedman, Carl T. Andrews, Mostafa A. Al‐Alusi, Jonathan W. Cunningham, Arash Aghajani Nargesi, Steven A. Lubitz, Michael H. Picard et al. · 2026 · Journal of Cardiac Failure
  7. Use of Artificial Intelligence Applied to Electrocardiogram for Diagnosis of Left Ventricular Systolic Dysfunction
    Wilton 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
  8. Estimating Ejection Fraction from the 12 Lead ECG among Patients with Acute Heart Failure
    Sunita Pokhrel Bhattarai, Dillon J. Dzikowicz, Ying Xue, Robert Block, Rebecca Tucker, Shilpa Bhandari, Victoria E Boulware, Breanne Stone, Mary G. Carey · 2024 · medRxiv
  9. Artificial Intelligence Applications for Electrocardiography to Define New Digital Biomarkers of Cardiovascular Risk
    Veer Sangha, Rohan Khera · 2024 · Circulation Cardiovascular Quality and Outcomes
  10. Sudden Cardiac Death Without Known Cardiovascular Disease
    Neal A. Chatterjee · 2025 · JACC. Clinical electrophysiology
  11. The invisible costs of heart failure: a societal toll
    Norrisa Haynes, Erica Sarah Spatz · 2025 · European Heart Journal
  12. Artificial Intelligence-Enhanced Electrocardiogram Models for Detection of Left Ventricular Dysfunction: A Comparison Study
    Philip 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
  13. Test-Retest Reliability of Artificial Intelligence-Enhanced Electrocardiography: A Multi-Center Study
    Lovedeep Singh Dhingra, Philip Merio Croon, Bruno Batinica, Evangelos K. Oikonomou, Rohan Khera · 2025 · medRxiv
  14. 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
  15. Preparing Physicians of the Future: Incorporating Data Science into Medical Education
    Rishi M. Shah, Kavya M. Shah, Piroz Bahar, Cornelius A. James · 2024 · Medical Science Educator
  16. Unlocking Hidden Risks: Harnessing Artificial Intelligence (AI) to Detect Subclinical Conditions from an Electrocardiogram (ECG)
    Emőke Pósán, Rod Richie · 2024 · Journal of Insurance Medicine
  17. Cross-Task Joint Network for Detecting Heart Failure with Reduced Ejection Fraction and Estimating Ejection Fraction from Electrocardiograms
    Haobo Zhang, Peng Zhang, Fei Ma, Lianying Chao, Wenqi Shan, Qiang Li · 2024 · International Conference on Bioinformatics and Computational Biology (ICBCB)
  18. Wearable-Echo-FM: An ECG-echo foundation model for single lead electrocardiography
    Elizabeth Knight, Evangelos K. Oikonomou, Arya Aminorroaya, Aline F Pedroso, Rohan Khera · 2025 · medRxiv
  19. MultiECGNet: A novel deep learning-based multi-format ensemble method for image-based electrocardiographic diagnosis of atrial fibrillation
    Justin Anh-Kiet Phan, George Parker, Nigel Hamilton Lovell, Rajesh Natarajan Subbiah, Jamie I. Vandenberg, Adam Parker Hill, Ahmadreza Argha · 2025 · medRxiv
  20. ARTIFICIAL INTELLIGENCE IN CARDIOLOGY: A BIBLIOMETRIC ANALYSIS OF BRAZILIAN RESEARCH
    Brianda 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
  21. Empowering Heart Failure Management Through Artificial Intelligence
    Alessandro Giaj Levra · 2025 · Springer eBooks
  22. 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
  23. Decoding the Digital Heart: Practical AI for Precision Diagnostics
    Jenna Lorge · 2025 · European Medical Journal
  24. Diagnostic Accuracy of Machine Learning Algorithms in Electrocardiogram-Based Heart Failure Detection: A Systematic Review and Meta-Analysis
    Mustafa Eray Kılıç, Mehmet Emin Arayıcı, Oğuz Akbilgiç, Mehmet Birhan Yılmaz · 2025 · Canadian Journal of Cardiology
  25. Additional file 1 of Machine learning in precision diabetes care and cardiovascular risk prediction
    Oikonomou, Evangelos K., Rohan Khera · 2024 · Figshare
  26. Detection and Prognostic Stratification of Left Ventricular Systolic Dysfunction in Left Bundle Branch Block Using an Artificial Intelligence-enabled ECG
    Sooyeon 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
  27. A Novel ECG Score for Predicting Left Ventricular Systolic Dysfunction in Stable Angina: A Pilot Study
    Nadir Emlek, Hüseyin Durak, Mustafa Çetin, Afag Özyıldız, Elif Ergül, Ahmet Seyda Yilmaz, Hakan DUMAN · 2026 · Diagnostics
  28. A Screening Method for Determining Left Ventricular Systolic Function Based on Spectral Analysis of a Single-Channel Electrocardiogram Using Machine Learning Algorithms
    N. 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
  29. Detection and prognostic stratification of left ventricular systolic dysfunction in left bundle branch block using an artificial intelligence–enabled electrocardiography
    Soo 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
  30. Digital Stethoscope–Derived Single-Lead Electrocardiogram and Artificial Intelligence to Detect Low Ejection Fraction: A Multicenter Observational Study
    Deepak 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
  31. Electrocardiographic phenotypes of a representative subset of the French general population: ECGs at inclusion in the CONSTANCES cohort
    Fabrice Extramiana, Thien-vu Nguyen Minh Tuan, Martino Vaglio, Anna Ozguler, Peter W. Macfarlane, Pierre Maison‐Blanche, Fabio Badilini · 2026 · Archives of cardiovascular diseases
  32. MultiECGNet: Evaluation of a Deep-Learning Ensemble Method for Image-Based 12-Lead Electrocardiographic Detection of Atrial Fibrillation
    George Parker, Justin Anh-Kiet Phan, Nigel Hamilton Lovell, Rajesh Natarajan Subbiah, Jamie I. Vandenberg, Adam Parker Hill, Ahmadreza Argha · 2026 · CJC Open
  33. Integration of artificial intelligence technologies in electrocardiogram analysis: current trends and prospects. A review
    Elena Vladimirovna Khazova, Шулаева Полина Александровна, Савзиханова Рената Рашидовна, MARIA I. MALKOVA · 2026 · Russian Journal of Cardiology
  34. A teacher–student deep learning framework for enhanced clinical screening of heart failure from 12-lead electrocardiograms
    Enhan Liu, Ying Liu, Zihang Wang, Han Zhou, X F Wang · 2026 · Physiological Measurement
  35. Electrocardiogram-Based Deep Learning for Time-Resolved Prediction of Heart Failure With Reduced Ejection Fraction: A Multinational Study
    Lei Pan, Siyuan Li, Jiayu Huo, Zilong Xiao, Ziqing Yu, Juecheng Chen, You Zhou, Zhixing Li, Beijian Zhang, Xiao Li et al. · 2026 · medRxiv
  36. Artificial intelligence-enabled electrocardiography for detection of left ventricular systolic dysfunction: A systematic review and meta-analysis
    Liam 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
  37. The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation
    Philip Merio Croon, Lovedeep Singh Dhingra, Aline F. Pedroso, Rohan Khera · 2026 · Current Heart Failure Reports
  38. Systematic reviews of medical machine learning: limitations of pooling AUCs
    Amulya Gupta, Rahel M. Sileshi, Jeffrey Thompson, Amit Noheria · 2026 · European Heart Journal - Digital Health
  39. Recent Advances in the Management of Heart Failure, Including the Role of AI and Advances in Gene Therapy
    Lakshmi Prasanna Vaishnavi Kattamuri, Kunal Sharma, Debabrata Mukherjee · 2026 · International Journal of Angiology
  40. From Detection to Differentiation: The Evolving Role of Artificial Intelligence–Enabled ECG in Heart Failure Care
    Bruno Batinica, Aline F Pedroso, Rohan Khera · 2026 · Journal of the American Heart Association
  41. 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 studies
    Railla 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
  42. A Hybrid Meta-Learning Framework Integrating ECG, Cine-MRI, and Biomarkers for Heart Failure Prediction
    Wafa Baccouch, Narjes Benameur, Abdulrahman A. Alsayyari, Zeyad Alawaji, Amani Kallel, Abderrazak Jemai, Salam Labidi · 2026 · Technologies
  43. Utility of ECG-Vision for Surveillance of Left Ventricular Dysfunction in Patients With Hypertrophic Cardiomyopathy Initiated on Mavacamten
    Aakash 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
  44. The electrocardiogram and artificial intelligence: turning signals into insights in pediatric and congenital heart disease
    David M. Leone, Ivor B. Asztalos, Joshua Mayourian · 2026 · Current Opinion in Pediatrics
  45. Preventable Majority: Global Health Implications of the Second Universal Definition of Heart Failure
    Jasper Tromp · 2026 · Circulation
  46. Medical devices and diagnostics: enhancing patient care and outcomes
    Babar Bashir Chaudhri · 2026 · Elsevier eBooks
  47. Acute heart failure in Africa: new causes, unchanged outcomes
    Bamba Gaye, Antônio Luiz Pinho Ribeiro, Éloi Marijon · 2026 · The Lancet
  48. Role of Polygenic Risk Scores and Artificial Intelligence
    Maddalena Rossi, Ilaria Gandin, Giulia Barbati, Federico Garoia, Matteo Dal Ferro, Marta Gigli, Gianfranco Sinagra · 2026 · Springer eBooks
  49. A lightweight ECG model with teacher-derived integrated medical semantic preservation for cardiac disease screening
    Shuangquan Ma, Wenyao Wang, Jie Yang, Jun Wen, Yawei Wang, Yida Tang · 2026 · International Journal of Medical Informatics
  50. Lead-adaptive self-supervised ECG representation model for multi-scenario ECG monitoring
    Zhiyuan 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