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.
Study Type
OBSERVATIONAL
Enrollment
1
The implant planning will be carried out using various software programs. The AI assistance provided by each software will be evaluated.
University of Bari Aldo Moro
Bari, Italy
Segmentation of Bones
The segmentation of bone structures and anatomical boundaries performed by the software will be evaluated.
Time frame: 1 day
Recognition of Neural structure
The segmentation and recognition of nerve structures performed by the software will be evaluated.
Time frame: 1 day
Segmentation of teeth
The segmentation of teeth performed by the software will be evaluated.
Time frame: 1 day
Bone density
The bone hardness and density data will be evaluated at three different points. The value will be given on the Hounsfield Scale.
Time frame: 1 day
Time Workflow
The execution time of each planning will be evaluated.
Time frame: 1 day
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.