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Updated: Jul 21, 2026
09:20
Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
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Finite Element Modeling in Left Ventricular Cardiac Biomechanics: From Computational Tool to Clinical Practice.
Patrick Hoang1,2, Julius Guccione3
1School of Medicine, University of California San Francisco, San Francisco, CA 94143, USA.
Bioengineering (Basel, Switzerland)
|September 27, 2025
Summary
Finite element (FE) modeling offers detailed cardiovascular simulations for heart conditions. Advancements in FE modeling are driving its clinical use for personalized heart disease treatments.
Area of Science:
- Cardiovascular Biomechanics
- Computational Biology
- Medical Imaging Analysis
Background:
- Finite element (FE) modeling provides advanced computational simulations of myocardial stress, strain, and hemodynamics.
- These simulations offer insights beyond conventional imaging techniques, aiding in understanding complex cardiac mechanics.
- The review traces the evolution of cardiac FE modeling from research to clinical applications.
Purpose of the Study:
- To review the progression of cardiac FE modeling in cardiovascular biomechanics.
- To highlight the role of FE modeling in understanding myocardial infarction and limitations of current surgeries.
- To explore novel therapeutic strategies and the impact of AI on FE modeling for precision medicine.
Main Methods:
- Narrative review of existing literature on cardiac FE modeling.
- Analysis of applications in myocardial infarction, surgical interventions, and device optimization.
- Examination of artificial intelligence-driven advancements in FE modeling.
Main Results:
- FE modeling is increasingly integrated into clinical practice for cardiovascular applications.
- Patient-specific FE simulations are crucial for optimizing left ventricular (LV) assist devices and surgical planning.
- AI-enhanced FE models show potential for real-time, personalized therapeutic decisions.
Conclusions:
- Finite element modeling is becoming an indispensable tool in precision medicine for structural heart disease.
- Advancements in AI and patient-specific modeling are enhancing therapeutic decision-making.
- FE modeling bridges the gap between research and clinical practice in cardiology.
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