跳至主要内容
临床试验/NCT07627841
NCT07627841已完成不适用

Accuracy of Computer Guided Implant Placement in Edentulous or Partially Edentulous Patients Using Artificial Intelligence Technology vs Conventional Method A Randomized Clinical Trial

Future University in Egypt1 个研究点 分布在 1 个国家目标入组 30 人开始时间: 2024年1月1日最近更新:

试验速览

阶段
不适用
状态
已完成
入组人数
30
试验地点
1

研究概览

简要总结

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.

详细描述

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.

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Other
盲法
Single (Participant)

入排标准

年龄范围
21 Years 至 60 Years(Adult)
性别
All
接受健康志愿者

入选标准

  • Patients who are partially or completely edentulous.
  • Patient aged 21 to 60 years old
  • A willingness to cooperate with study protocol and follow-up program

排除标准

  • Medical contraindications to dental treatment.
  • Uncontrolled periodontal disease that interfere with healing.
  • Cancer Patient (under radiation / chemotherapy).
  • Present of any acute local infection.
  • Uncontrolled diabetic patient.

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Eslam Nashaat Saied Ahmed Mohamed

principle investigator

Future University in Egypt

研究点 (1)

Loading locations...

相似试验