Predictive Intelligence in Motion: Enabling Surgical Automation in Urologic Robotics

Takashi KobayashiJapan Moderator

Mahendra BhandariUnited States Speaker Predictive Intelligence in Motion: Enabling Surgical Automation in Urologic RoboticsArtificial intelligence is rapidly transforming urologic robotic surgery, not by replacing the surgeon, but by enhancing anticipation, precision, and intraoperative decision-making. This talk focuses on how high-fidelity predictive models serve as the computational core of surgical automation enabling intelligent systems to respond to anatomical variation, predict surgical planes, and adapt in real time. I will highlight the evolving landscape of AI-driven assistance in procedures like robotic prostatectomy and partial nephrectomy, where predictive analytics and multimodal data (vision, force, motion) converge to guide dissection and preserve function. A special emphasis will be placed on the emerging and underutilized concept of "no-fly zones “predefined anatomical areas digitally fenced off to prevent inadvertent damage. Widely applied in ophthalmology and orthopedic robotics, this concept has yet to be integrated into urologic surgical platforms, despite its potential to enhance safety during nerve-sparing or vascular dissection. The presentation will explore: • AI-based risk prediction and intraoperative guidance • Learning from large, annotated video and sensor datasets • A proposed roadmap to introduce “no-fly zones” in urologic procedures Ultimately, the talk advocates for a future where predictive AI not only guides the hand but safeguards the intent, making surgery smarter, safer, and more consistent.