The implementation of Artificial Intelligence (AI) into robotic surgical systems changes modern healthcare by improving precision, reducing human error, and making it possible to do treatments with minimum damage. Even after these advancements, the whole implementation of AI in surgical robotics remains forced by issues of ethical liability, technological readiness, and limited clinical validation. This paper aims to study the conceptual foundation for integrating AI robots in surgery, recognize practical and ethical challenges, and proposes strategic directions for future adoption. A review of existing literature highlights both the progress made—such as assistive robotic platforms like da Vinci—and the absence of autonomous, learning-enabled systems. The research point outs a gap in the framework for surgeon-AI collaboration, training models, and standardization protocols. Methodologically, this study proceeds towards a qualitative review approach based on the findings of the questionnaires. Findings indicate major potential for AI-enhanced surgery, contingent upon clear regulatory policies, multidisciplinary training, and scalable system design. The paper concludes with strategic recommendations for sustainable implementation.
Saqib et al. (Thu,) studied this question.