Accuracy of Computer Guided Implant Placement in Edentulous or Partially Edentulous Patients Using Artificial Intelligence Technology vs Conventional Method A Randomized Clinical Trial
Accuracy of Computer Guided Implant Placement in Edentulous or Partially Edentulous Patients Using Artificial Intelligence Technology vs Conventional Method A Randomized Clinical Trial
This study at Future University in Egypt aims to compare two modern methods of placing dental implants: one using artificial intelligence (AI)-assisted computer planning and the other using conventional computer-guided planning. Participants who have missing teeth will receive dental implants using a customized 3D-printed surgical guide designed from CBCT scans. The study will evaluate how accurately the implants are placed and whether AI technology can improve precision and treatment planning. Participants will undergo examination, implant surgery, healing, and follow-up visits, including scans before and after treatment. Like any implant procedure, there may be risks such as swelling, infection, or implant failure, but patients will be closely monitored throughout the study.
This clinical study is being conducted at Future University in Egypt as part of a doctoral research project in Oral and Maxillofacial Surgery. The purpose of the study is to evaluate and compare the accuracy of dental implant placement using two different computer-guided techniques: an Artificial Intelligence (AI)-assisted digital planning method and a conventional computer-guided planning method.
Dental implants are commonly used to replace missing teeth and restore oral function and appearance. Accurate implant placement is very important to avoid complications and to ensure long-term success. Modern implant dentistry increasingly depends on digital planning and 3D surgical guides to improve safety and precision during surgery.
In this study, patients who are partially or completely missing teeth will undergo clinical examination and CBCT (Cone Beam Computed Tomography) imaging before treatment. Participants will then be randomly assigned into one of two groups. The first group will use AI-assisted planning software that automatically helps identify important anatomical structures, detects missing teeth, and assists in planning the ideal implant position. The second group will use a conventional digital planning method performed manually by the clinician using standard software.
For both groups, a customized surgical guide will be designed and fabricated using 3D-printing technology. During surgery, the guide will help the surgeon place the dental implants in the planned position with high precision. After implant placement, patients will receive routine postoperative care and follow-up. A healing period of approximately three months will be allowed before placement of the final crown or bridge restoration.
To evaluate the accuracy of the procedure, postoperative CBCT scans will be compared with the original virtual treatment plan. The study will measure any differences between the planned and actual implant positions, including implant depth, angle, and overall positioning.
The study aims to determine whether AI-assisted implant planning can improve the precision, efficiency, and predictability of guided implant surgery compared with conventional digital planning methods. The results may contribute to improving future dental implant treatment and digital surgical workflows.
Participation in this study is voluntary, and all patient information will remain confidential. Possible risks are similar to those associated with standard dental implant surgery and may include pain, swelling, bleeding, infection, temporary numbness, or implant failure. Patients will be closely monitored throughout treatment, and any complications will be managed by the research team.
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