Transforming Cardiac Care for Aortic Valve Disease Patients Undergoing TAVR: The Impact of Personalized Simulations and AI-Based Methods in Clinical Practice

Hemodynamics and biomechanics are essential for the accurate and early diagnosis of patients with aortic valve diseases and those undergoing transcatheter aortic valve replacement (TAVR). Despite astonishing advancements in medical imaging, current imaging modalities cannot quantify hemodynamics and biomechanics adequately. This review explores the impact of personalized simulations and artificial intelligence (AI)-based methods in clinical practice and how they could transform cardiology and influencing cardiovascular care. It outlines future directions while addressing current challenges and opportunities related to translating these technologies into clinical settings. The chapter highlights the contributions of various computational methods in quantifying hemodynamics and biomechanics specifically for patients with aortic valve diseases undergoing TAVR. It identifies barriers to adopting these methods in clinical practice and emphasizes the critical need for interdisciplinary collaboration to bridge this gap. By leveraging computational insights to inform clinical decisions, there is potential to revolutionize patient outcomes through personalized diagnostics and treatment strategies. Integrating advanced computational models into clinical practice requires concerted efforts from both computational engineers and clinical cardiologists. Together, they can develop user-friendly, clinically relevant computational tools that elevate the standard of cardiovascular care.