Left Ventricular Ejection Fraction Estimation

Ask about this topic

Overview

Left ventricular ejection fraction (LVEF) is the percentage of blood in the heart’s main pumping chamber ejected with each beat, and it helps assess cardiac function. Methods estimate it from echocardiography or cardiac MRI, using chamber measurements and segmentation or learning directly from image sequences; ECG and clinical records can also help screen for reduced LVEF. Current approaches include video transformers, self-supervised and foundation-model features, and fusion across views or data types, with performance commonly assessed by measurement error and by classification of reduced function. A central challenge is ensuring estimates remain reliable across sites and measurement conventions, and that models attend to clinically meaningful cardiac motion rather than only image appearance.

Latest papers

CardsList

16 papers1 paper in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Clinical radar heart sounds with echocardiographic phenotypes of ventricular dysfunction and valvular disease

    Oct 21, 2026Jinye Li, Qingchao ChenLeft Ventricular Ejection Fraction Estimation

    National Institute of Health Data Science, the Institute of Medical Technology, Peking University · Beijing University of Posts and Telecommunications · National Institute of Health Data Science, the Institute of Medical Technology, and the State Key Laboratory of General Artificial Intelligence, Peking University

  2. The segmentation ceiling: why explicit left-ventricular masks do not improve learned ejection-fraction regression

    Sep 17, 2026Farshid Farhadi Khouzani, Paul La Plante, Bryar Mustafa Shareef +1Left Ventricular Ejection Fraction EstimationEchocardiography

    Department of Computer Science, University of Nevada, Las Vegas, Las Vegas, NV, USA

  3. Learning from Scarce Labels: Multi-View Echocardiography for Ejection Fraction Prediction

    Sep 2, 2026Zhiyuan Gao, Dominic Yurk, Yaser S. Abu-MostafaLeft Ventricular Ejection Fraction EstimationMedical Image Analysis

    Electrical Engineering Department, California Institute of Technology, Pasadena, CA 91125, USA · Asari AI, San Francisco, CA 94131, USA

  4. A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction

    Aug 14, 2026Xiaotong Zhang, Mingyue Cui, Qing Cao +1Left Ventricular Ejection Fraction EstimationToxicity Detection

    Cardiovascular Ultrasound R&D, GE HealthCare, Wuxi, China

  5. A Vision Transformer for ECG-Based Detection of Left Ventricular Systolic Dysfunction Across Multiple Clinical Sites

    Aug 12, 2026Burcu Ozek, Aruna Mohan, David Vorchheimer +5Electrocardiogram ClassificationLeft Ventricular Ejection Fraction Estimation

    Walkky LLC, Boston, MA, USA · Northwell Cardiovascular Institute, Lenox Hill Hospital, New York, NY, USA · Weiss Consulting Groups, Boca Raton, FL, USA +2

  6. Foundation Models Adaptation for Multi-View Multi-modal Cardiac MRI Segmentation and Direct Ejection Fraction Estimation

    Aug 7, 2026Sina Amirrajab, Cian M Scannell, Volker Vehof +2Medical Imaging Foundation ModelsLeft Ventricular Ejection Fraction Estimation

    The D-Lab, Department of Precision Medicine, GROW - Research Institute for Oncology and Reproduction, Maastricht University, Maastricht, the Netherlands. · Division of Cardiovascular Imaging, Department of Cardiology I, University Hospital Münster, Münster, Germany · Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands

  7. When Measurement Conventions Masquerade as Calibration Gains in Cardiac Digital Twins

    Aug 3, 2026Dang P. M. Cao, Hieu PhamLeft Ventricular Ejection Fraction EstimationEchocardiography

    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · Center for Innovations in Health Sciences, VinUniversity, Hanoi, Vietnam

  8. Loss Invariance Determines What Concept Layers Encode: Volume Grounding in Echocardiography

    Jul 28, 2026Hyunkyung Han, Min Jung KimConcept Bottleneck ModelsLeft Ventricular Ejection Fraction Estimation

    Department of Integrative Medicine, Yonsei University College of Medicine, Seoul 06273, Republic of Korea

  9. Anatomically Faithful but Temporally Blind: Auditing Attribution for Left-Ventricular Ejection-Fraction Estimation from Echocardiography

    Jul 15, 2026Hyunkyung Han, Min Jung KimGradient-Based AttributionLeft Ventricular Ejection Fraction Estimation

    aSchool of Integrated Medicine, Yonsei University, Seoul, Republic of Korea · bDepartment of Radiology, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Republic of Korea

  10. EchoRisk: A Multicentre Echocardiography Dataset and Benchmark for Cardio-Oncology

    Jul 1, 2026Grigorios Kalliatakis, Georgia Karanasiou, Georgios Manikis +10Left Ventricular Ejection Fraction EstimationHealthcare

    Foundation for Research and Technology Hellas, Greece · University of Ioannina, Greece · Hellenic Mediterranean University, Greece +3

  11. Evaluating self-supervised echocardiographic representations across downstream extraction strategies for left-ventricular segmentation and ejection fraction estimation

    Jun 22, 2026Sylwia Majchrowska, Philip TeareUltrasound Image SegmentationLeft Ventricular Ejection Fraction Estimation

    aR&D Data ScienceSylwiaSkills &Majchrowskaa,Partnership, DataPhilipScienceTeareb& AI, BioPharma R&D, AstraZeneca, Pepparedsleden 1, Mölndal, 431 83, Sweden · bCentre for AI, Data Science & AI, BioPharma R&D, AstraZeneca, BiomedicalJun Campus, 1 Francis Crick Ave, Trumpington, Cambridge, CB2 0AA, UK

  12. A Multimodal and Explainable Machine Learning Approach to Diagnosing Multi-Class Ejection Fraction from Electrocardiograms

    Apr 17, 2026Catherine Ning, Yu Ma, Cindy Beini Wang +4Left Ventricular Ejection Fraction EstimationMultimodal Classification

    Operations Research Center, Massachusetts Institute of Technology, Cambridge, MA, USA · Wisconsin School of Business, University of Wisconsin–Madison, Madison, WI, USA · Heart and Vascular Institute, Hartford Hospital, Hartford, CT, USA

  13. Detecting low left ventricular ejection fraction from ECG using an interpretable and scalable predictor-driven framework

    Mar 30, 2026Ya Zhou, Tianxiang Hao, Ziyi Cai +5Left Ventricular Ejection Fraction EstimationElectrocardiography

    Department of Information Center, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China · The Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China · Institute of Statistics and Big Data, Renmin University of China, Beijing, China +2

  14. Follow Your Heart: Landmark-Guided Transducer Pose Scoring for Point-of-Care Echocardiography

    Mar 28, 2026Zaiyang Guo, Jessie N. Dong, Filippos Bellos +8Anatomical Landmark DetectionEchocardiography

    ⋆University of Pennsylvania, Philadelphia, PA, USA · † University of Michigan, Ann Anbor, MI, USA · § Central Michigan University, Mt Pleasant, MI, USA

  15. Opportunistic Cardiac Health Assessment: Estimating Phenotypes from Localizer MRI through Multi-Modal Representations

    Mar 13, 2026Busra Nur Zeybek, Özgün Turgut, Yundi Zhang +5Left Ventricular Ejection Fraction EstimationCardiac MRI

    Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Germany · Munich Center for Machine Learning (MCML), Germany · Department of Diagnostic and Interventional Neuroradiology, School of Medicine, TUM University Hospital, Germany. +1

  16. Echo-E3^3Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation

    Mar 21, 2025Moein Heidari, Afshin Bozorgpour, AmirHossein Zarif-Fakharnia +5Efficient Neural Network InferenceLeft Ventricular Ejection Fraction Estimation

    University of British Columbia, Vancouver, BC, Canada · University of Regensburg, Regensburg, Germany · Iran University of Science and Technology, Tehran, Iran +1