Comparative Evaluation of Implant Planning Software

University of Bari Aldo Moro

Status: Completed

Conditions: Edentulous Alveolar Ridge; Edentulous Jaw; Edentulous Mouth; Partial-edentulism

Treatments: Diagnostic Test: Implant planning

Study type: Observational

Funder types: Other

Identifiers

NCT06693635

AISoftware

Details and patient eligibility

About

Artificial intelligence (AI) is increasingly being integrated into dental implant planning, revolutionizing the way clinicians approach treatment. AI-driven software can enhance the accuracy of implant placement by analyzing complex data sets, including bone density, anatomical structures, and patient-specific factors. This technology enables the creation of precise 3D models and surgical guides, facilitating more predictable and personalized treatment outcomes. Additionally, AI algorithms can automate tasks such as segmentation, matching digital impressions with CBCT scans, and even suggesting optimal implant positions. The integration of AI in implant planning not only improves clinical efficiency but also contributes to better patient outcomes by reducing surgical risks and enhancing the overall success of implant procedures.

Enrollment: 1 patient

Sex: All

Ages: 18 to 70 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• CBCT of Patient who needs Implant rehabilitations

Exclusion criteria

• Patient not suitable for implant rehabilitation