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Completed NCT07627841

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

Conditions: Partially Edentulous Maxilla, Mandible, Edentulous Alveolar Ridge

Sex: All
Ages: 21 Years – 60 Years
Healthy volunteers: Yes
Phase: NA
Enrollment: 30
Sponsor: Future University in Egypt

Location: Future University in Egypt Cairo New Cairo

Summary

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.

Eligibility Criteria

Inclusion Criteria: 1. Patients who are partially or completely edentulous. 2. Patient aged 21 to 60 years old 3. A willingness to cooperate with study protocol and follow-up program Exclusion Criteria: 1. Medical contraindications to dental treatment. 2. Uncontrolled periodontal disease that interfere with healing. 3. Cancer Patient (under radiation / chemotherapy). 4. Present of any acute local infection. 5. Uncontrolled diabetic patient.

Interested in this study? View the official listing for contact and enrollment details.

View on ClinicalTrials.gov

Source: ClinicalTrials.gov (NCT07627841). StuddyBuddy aggregates publicly available trial information.