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临床试验/NCT06693635
NCT06693635已完成不适用

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

University of Bari Aldo Moro1 个研究点 分布在 1 个国家目标入组 1 人开始时间: 2024年11月1日最近更新:
适应症

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

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

发起方
University of Bari Aldo Moro
申办方类型
Other
责任方
Principal Investigator
主要研究者

Giuseppe D'Albis

DDS, MSc

University of Bari Aldo Moro

研究点 (1)

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