Slicer FSP: An Open‑Source Modular Platform for Reproducible Dental Implant Surgery Planning

Purpose To develop an open‑source application composed of specialized modules for oral and dental implant surgery planning, built on the medical imaging platform 3D Slicer. The goal was to integrate a fragmented set of tools into a unified, reproducible, and computationally coherent workflow. Methods Six Python scripted custom modules were developed and combined with three built‑in modules and five 3D Slicer extensions to form the Slicer–Free Surgical Planner (Slicer FSP). The system implements a complete digital workflow, from CBCT import and preprocessing to prosthetic simulation, implant planning, and surgical guide design. The architecture emphasizes modularity, interoperability, automated data handling, and standardized coordinate export to support downstream computational tasks. Results Compared with using multiple independent 3D Slicer modules, Slicer FSP significantly reduced workflow complexity and overall working time. The integrated design introduced new technical capabilities, including automated slice and implant coordinate export, enhanced alignment tools, top‑down implant simulation, improved data management, and a bilingual interface. These features increased reproducibility, reduced user‑dependent variability, and enabled consistent execution of complex planning steps. Conclusion Slicer FSP is an open, extensible, and transparent platform for oral surgery and implant planning, offering a technically robust alternative to commercial systems. Its open‑source availability supports further development, validation, and integration into research pipelines, facilitating broader adoption of reproducible, modular, and community‑driven digital workflows.