Automating surgical guide design for single anterior implants powered by artificial intelligence - a clinical report

Implant dentistry has undergone a significant transformation with the integration of artificial intelligence (AI) into digital workflows. AI, a branch of computer science that enables machines to simulate human cognitive processes, has demonstrated the potential to improve the accuracy, efficiency, and consistency of dental implant procedures. In guided implant surgery, the design of surgical guides traditionally requires manual segmentation of anatomical structures and alignment of cone-beam computed tomography and surface scan data - a process that is time-consuming and operator-dependent.This clinical report presents an AI-powered static computer-assisted implant surgery workflow for a 25-year-old man requiring a single anterior implant. By using deep learning architectures for automated data processing, the digital guide design was completed within 20 minutes. This case demonstrates the application of AI beyond diagnostic support, extending to automated surgical guide design for accurate implant placement and immediate previsualisation in the high-stakes aesthetic zone. While AI-enhanced workflows demonstrate a promising approach to improving predictability, clinicians must maintain rigorous manual verification to mitigate risks associated with data artefacts and algorithmic limitations.