Volume 1 - Issue 4, November - December 2025

Artificial Intelligence (AI) is reshaping Robotic-Assisted Surgery (RAS) by expanding the surgeon’s capabilities through real-time perception, predictive analytics, enhanced visualization, and semi-autonomous task execution. As modern operating rooms generate vast amounts of multimodal data, AI provides an unprecedented opportunity to interpret and utilize this information for improving accuracy, reducing complications, and standardizing outcomes. This paper presents a comprehensive seven-page review of the foundations, clinical applications, integration challenges, and ethical considerations surrounding AI in robotic surgery. Particular emphasis is placed on computer vision, deep learning, reinforcement learning, and natural language processing as the technological pillars of intelligent surgical systems. The review traces AI’s evolution in perioperative workflows, discusses its influence on surgical planning, intraoperative guidance, and postoperative prognostication, and outlines a structured roadmap for safe clinical adoption. The analysis concludes that AI has the potential to elevate robotic surgery from mechanical augmentation to cognitive partnership, although challenges in data governance, model validation, clinical acceptance, and ethical oversight remain critical.