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Updated: May 6, 2026

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使用人工智能增强下第三提取中的预测分析:基于CBCT的研究

Faezeh Khorshidi1, Rasool Esmaeilyfard1, Maryam Paknahad2

  • 1Computer Engineering and Information Technology Department, Shiraz University of Technology, Shiraz, Iran.

The Saudi dental journal
|September 15, 2025
PubMed
概括

这项研究开发了一种人工智能模型,从CBCT报告中预测下三提取难度,达到95%的准确性. 人工智能准确预测复杂性,帮助手术决策并改善患者的治疗结果.

关键词:
人工智能的人工智能圆束计算机断层扫描 计算机断层扫描牙科放射学 牙科放射学牙第三提取 牙第三提取自然语言处理自然语言处理.

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相关概念视频

Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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