Computer-Assisted Implant Surgery (CAIS) marks a profound paradigm shift in oral implantology towards a comprehensive, design-oriented, patient-centered digital workflow, empowering unprecedented clinical outcomes. The digital implant treatment plan is the cornerstone of the workflow and an essential prerequisite for any further procedures. Once this digital blueprint is locked, the clinician can conduct the surgical and restorative procedures, selecting from an array of protocols, as best indicated for the patient.
Non-guided CAIS (digitally planned, executed freehand), although still feasible in straightforward cases of low complexity, is no longer considered the most efficient way to work with more complex clinical protocols. In contrast, guided CAIS allows the placement of the implants with minimum deviation from the planned position, thus simplifying complex protocols such as immediate loading with prefabricated prostheses and empowering minimally invasive surgeries and flapless placement.
Static CAIS (s-CAIS) relies on rigid CAD/CAM surgical guides to mechanically guide surgical drills. Although a low cost, mature and predictable technology with extensive documentation, s-CAIS presents with significant limitations. At the same time, it relies on technologies that offer little, if any, potential to further evolve.
Dynamic CAIS (d-CAIS) represents a different paradigm in guided surgery and relies on spatial tracking cameras to offer the surgeon real-time guidance. This allows maximum access to the surgical site and intraoperative flexibility, but requires expensive devices and demands significant training to master.
Finally, robotic CAIS (r-CAIS) is a promising new direction, pairing real-time navigation with automated execution. Collaborative or task-autonomous CAIS robots have advanced beyond proof of principle, placing thousands of implants worldwide with unprecedented trueness. Despite impressive claims with regards to accuracy, robotic CAIS relies on expensive, bulky and complex devices, is labor-intensive and involves high operational costs, and little is known about the patient and operator experience. Cost-effectiveness might represent the most important barrier to overcome before wider clinical adoption.
Ultimately, CAIS might be a transitory stage toward a highly automated digital ecosystem in implant dentistry, in which treatment planning will be supported by cloud-based artificial intelligence, while surgical and restorative procedures will be executed within immersive environments with unprecedented levels of real-time information and guidance. The use of CAIS may permanently transform implant surgery into a hyper-precise science.