NCT06693635

Comparative Evaluation of Implant Planning Software

Evaluating the Impact of Artificial Intelligence in Implant Planning Software: A Case Study Approach

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 1 (actual)
• Sponsor: University of Bari Aldo Moro · Academic / Other
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: —

Summary

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.

Conditions

• Edentulous Jaw
• Edentulous Alveolar Ridge
• Edentulous Mouth
• Partial-edentulism

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Implant planning	The implant planning will be carried out using various software programs. The AI assistance provided by each software will be evaluated.

Timeline

• Start date: 2024-11-01
• Primary completion: 2024-11-01
• Completion: 2024-11-01
• First posted: 2024-11-18
• Last updated: 2025-01-01

Locations

1 site across 1 country: Italy