@article{WU2025, 
author = {Yiqun WU and Wenying WANG},
title = {Advances in digital implant surgery for edentulous jaws},
year = {2025},
journal = {Journal of Prevention and Treatment for Stomatological Diseases},
volume = {33},
number = {10},
pages = {819-826},
keywords = {edentulous, digital implantology, preoperative planning, virtual implant design, three-dimensional imaging, computer aided design, digital guide plate, dynamic navigation, robot, artificial intelligence},
url = {https://www.sciopen.com/article/10.12016/j.issn.2096-1456.202550228},
doi = {10.12016/j.issn.2096-1456.202550228},
abstract = {Edentulous patients often present with severe alveolar bone resorption, restructured maxillofacial anatomy, and loss of occlusal relationships, making implant-supported rehabilitation technically more challenging—particularly in terms of guide stability, implant positioning accuracy, and prosthesis design. Traditional treatment workflows largely rely on clinician experience, which is inherently subjective and limits the ability to achieve precise, controlled implant placement and predictable restorative outcomes. In recent years, the widespread adoption of digital technologies has brought transformative progress to implantology for edentulous jaws. Innovations span from preoperative imaging and 3D reconstruction, intelligent surgical planning, personalized guide design, dynamic navigation, and robotic-assisted implant placement, to digital prosthesis design and immediate loading protocols. These advancements have markedly improved surgical precision, procedural efficiency, and patient satisfaction. This article systematically reviews the key applications and clinical value of digital technologies across the various stages of implant rehabilitation in edentulous cases. We also highlight current challenges, such as high costs and dependence on specialized equipment. Finally, we explore future directions toward more intelligent and integrated solutions that are driven by advances in artificial intelligence, multimodal image fusion, and robotics.}
}