Front Sci
AI surgical robots are coming, but regulation isn’t ready
Clinical Takeaway: Surgeons will remain the primary decision-makers as AI enters the operating room, but the shift toward autonomous assistance will require new competencies, redefined team roles, and require regulatory frameworks that don't yet exist.
Surgery is on the verge of a fundamental transformation, but the technical capability to deploy AI-powered surgical robots is outpacing the governance structures needed to do so safely. A team of surgeons and researchers from King's College London published a comprehensive analysis of where AI and surgical robotics are headed and what needs to happen before the technology can be broadly and safely deployed.
The vision they describe is ambitious. Future operating rooms would function as sensor-rich environments, continuously capturing data from the surgical team, patients, instruments, and robots to feed AI systems capable of real-time workflow recognition, performance benchmarking, outcome prediction, and autonomous surgical assistance. Robots would move beyond passive instrument-handling to embodied AI systems that learn from each procedure and adapt to individual surgeons' styles.
The surgical team would look different too. Surgeons would shift toward supervision and high-level decision-making rather than direct instrument operation. Scrub nurses would oversee robotic assistants, circulating nurses would coordinate logistics robots, and new roles such as clinical data scientists or robotic integration engineers would become standard members of the operating team.
Current regulatory frameworks authorize AI devices based on their form at the time of approval, but systems that continue to learn and adapt after deployment pose a different risk profile entirely. The authors call for reformed licensing pathways, updated device classifications, new post-market monitoring standards, and standardized trial metrics specifically designed to evaluate AI and human-robot interaction,not just patient outcomes. They also flag the risk of dataset bias reinforcing health inequalities, and the concentration of AI research and development in wealthy nations leaving lower-resource health systems behind.
Multistakeholder discussion is needed now across regulators, professional bodies, industry, and clinicians to ensure that the benefits of AI-enhanced surgery are realized equitably and safely, the authors argue.
"Human surgeons must continue to be the chief decision-makers, and insights from AI models must be presented differently to members of the surgical team, based on their role, if we are to maintain the clear chain of authority necessary for safe surgical practice," said Prokar Dasgupta, MD, professor of urology and robotic surgery at King's College London.
Source: Granados A, et al. Front Sci. 2026 May 7. Evolving surgical teams in the age of artificial intelligence and robotics