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<p>To provide a narrative synthesis of the clinical and technological evidence for a conceptual cyber-physical paradigm in aortic valve surgery, where Robotic Aortic Valve Replacement (RAVR) serves as a platform for integrated artificial intelligence (AI) and augmented reality (AR) systems. This review evaluates the thesis that this approach is poised to redefine the standard of care for the lifetime management of aortic valve disease. This review analyzes the current literature on RAVR, AI-driven decision support, and AR-guided surgery. Clinical outcomes of RAVR are critically compared to traditional and transcatheter approaches, with a focus on the growing cohort of younger, lower-risk patients. Hypothesis-generating evidence from a key propensity-matched analysis suggests that in highly selected, younger, lower-risk patients, RAVR may be associated with favorable outcomes compared to Transcatheter Aortic Valve Replacement (TAVR), including lower one-year mortality (1.4% vs. 12.5%) and rates of greater-than-mild paravalvular leak (0.7% vs. 21.5%). These observational findings must be interpreted with caution due to the potential for significant selection bias and residual confounding, and they require validation in randomized trials. Our synthesis proposes that integrating AI for predictive modeling and AR for intraoperative navigation could transform RAVR into a cohesive, data-driven therapeutic pathway. However, widespread adoption is constrained by substantial socio-technical challenges, including high capital costs, a steep learning curve confined to expert centers, and the risk of algorithmic bias. The conceptual fusion of robotics, AI, and AR represents a potential future shift in aortic valve disease management, from a craft-based art toward a data-driven science. While this integrated paradigm is not yet clinically validated, it holds the potential to enhance precision and personalize care, aiming to provide a more durable, lifetime-oriented solution for a new generation of patients.</p>

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The cyber-physical paradigm for lifetime aortic valve management: a synthesis of robotics, artificial intelligence, and augmented reality

  • 期刊论文

  • 发表日期：

    2026年2月25日

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  • Khalil El Abdi,
  • Roda Rashid Bin Sultan Alshamsi,
  • Muhammad Ibrahim,
  • Fazeela Bibi,
  • Abdul Qudoos Anwar,
  • Muhammad Hamza,
  • Mohammad Rayyan Faisal,
  • Suraksha Kumari,
  • Bilal Aslam,
  • Muhammad Muneeb,
  • Vohra Maham Hassan,
  • Shafiq Ur Rahman,
  • Said Hamid Sadat

摘要

To provide a narrative synthesis of the clinical and technological evidence for a conceptual cyber-physical paradigm in aortic valve surgery, where Robotic Aortic Valve Replacement (RAVR) serves as a platform for integrated artificial intelligence (AI) and augmented reality (AR) systems. This review evaluates the thesis that this approach is poised to redefine the standard of care for the lifetime management of aortic valve disease. This review analyzes the current literature on RAVR, AI-driven decision support, and AR-guided surgery. Clinical outcomes of RAVR are critically compared to traditional and transcatheter approaches, with a focus on the growing cohort of younger, lower-risk patients. Hypothesis-generating evidence from a key propensity-matched analysis suggests that in highly selected, younger, lower-risk patients, RAVR may be associated with favorable outcomes compared to Transcatheter Aortic Valve Replacement (TAVR), including lower one-year mortality (1.4% vs. 12.5%) and rates of greater-than-mild paravalvular leak (0.7% vs. 21.5%). These observational findings must be interpreted with caution due to the potential for significant selection bias and residual confounding, and they require validation in randomized trials. Our synthesis proposes that integrating AI for predictive modeling and AR for intraoperative navigation could transform RAVR into a cohesive, data-driven therapeutic pathway. However, widespread adoption is constrained by substantial socio-technical challenges, including high capital costs, a steep learning curve confined to expert centers, and the risk of algorithmic bias. The conceptual fusion of robotics, AI, and AR represents a potential future shift in aortic valve disease management, from a craft-based art toward a data-driven science. While this integrated paradigm is not yet clinically validated, it holds the potential to enhance precision and personalize care, aiming to provide a more durable, lifetime-oriented solution for a new generation of patients.