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