Robotic-Assisted Surgery in the Digital Era: Clinical Outcomes, Ethical Governance, and System-Level Implications

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Abstract
Minimally invasive and robotic-assisted surgery has evolved into a defining component of contemporary operative care, reshaping technical performance, institutional organization, and health system strategy. This review analyzes the clinical impact, ethical implications, and structural transformation associated with robotic integration in surgery, synthesizing high-impact literature across randomized trials, systematic analyses, implementation research, innovation frameworks, and economic evaluations. Evidence indicates that robotic platforms offer measurable advantages in selected high-complexity procedures, particularly in anatomically confined surgical fields, while demonstrating heterogeneous benefits across broader procedural categories. The distribution of evidence highlights a strong emphasis on technological evolution and operational implementation, with comparatively fewer long-term randomized comparative trials. Economic analyses reveal context-dependent cost-effectiveness, closely linked to procedural volume and institutional capacity. Ethical and regulatory considerations, including accountability, algorithmic transparency, and informed consent adaptation, emerge as increasingly relevant as AI-assisted functionalities expand. In middle-income healthcare systems such as those of Mexico, Colombia, and Ecuador, robotic adoption reflects both technological advancement and structural challenges related to sustainability and equitable access. The findings support the importance of structured innovation governance, particularly staged evaluation models, to ensure responsible diffusion. Robotic-assisted minimally invasive surgery should therefore be understood not solely as a technical enhancement, but as a multidimensional transformation requiring coordinated clinical, economic, and regulatory alignment.