Artificial Intelligence and Robotic Surgery in Transcrestal Sinus Floor Elevation with Simultaneous Implant Placement: A Near-Future Paradigm

Transcrestal sinus floor elevation (TSFE) with simultaneous implant placement is a technically demanding procedure used to address posterior maxillary bone deficiency.Traditional techniques rely heavily on tactile feedback and operator experience, with risks including Schneiderian membrane perforation, inaccurate implant positioning, and unpredictable graft outcomes.This article examines how artificial intelligence and robotic surgical systems are converging to transform TSFE into a precise, predictable, and safer procedure.AI contributes through automated preoperative planning, CBCT segmentation, surgical approach classification, and postoperative volumetric graft analysis.Robotic systems provide haptic feedback, force-controlled drilling, and sub-millimeter accuracy.Recent clinical evidence demonstrates that robotic-assisted TSFE achieves a mean apical deviation of 0.56-0.78mm and angular deviation of 1.38-2.20°,with membrane perforation rates approaching zero.Force-feedback technology enables real-time detection of sinus floor microfracture, transforming a traditionally "blind" procedure into a visually and mechanically monitored operation.The near future will see integrated AI-robotic platforms that autonomously classify surgical needs, execute osteotomies, and quantify graft stability with the surgeon transitioning from operator to supervisor.