Evaluating the Impact of Artificial Intelligence in Implant Planning Software: A Case Study Approach
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 1
- 试验地点
- 1
- 主要终点
- Segmentation of Bones
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 70 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •CBCT of Patient who needs Implant rehabilitations
排除标准
- •Patient not suitable for implant rehabilitation
结局指标
主要结局
Segmentation of Bones
时间窗: 1 day
The segmentation of bone structures and anatomical boundaries performed by the software will be evaluated.
Recognition of Neural structure
时间窗: 1 day
The segmentation and recognition of nerve structures performed by the software will be evaluated.
Segmentation of teeth
时间窗: 1 day
The segmentation of teeth performed by the software will be evaluated.
Bone density
时间窗: 1 day
The bone hardness and density data will be evaluated at three different points. The value will be given on the Hounsfield Scale.
Time Workflow
时间窗: 1 day
The execution time of each planning will be evaluated.
次要结局
未报告次要终点
研究者
Giuseppe D'Albis
DDS, MSc
University of Bari Aldo Moro
