Robotics & Machine Learning Daily News2024,Issue(Nov.28) :71-71.

Study Data from Hallym University Sacred Heart Hospital Update Understanding of Artificial Intelligence (Validation of 2D lateral cephalometric analysis using a rtificial intelligence-processed lowdose cone beam computed tomography)

哈利姆大学圣心医院最新研究数据人工智能的理解(二维横向验证)人工智能低剂量头影测量分析锥形束计算机断层扫描

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :71-71.

Study Data from Hallym University Sacred Heart Hospital Update Understanding of Artificial Intelligence (Validation of 2D lateral cephalometric analysis using a rtificial intelligence-processed lowdose cone beam computed tomography)

哈利姆大学圣心医院最新研究数据人工智能的理解(二维横向验证)人工智能低剂量头影测量分析锥形束计算机断层扫描

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的新研究成果已经发表。据新闻报道NewsRx记者从韩国安阳报道,研究称,“传统头影测量学”射线照片在二维平面上描绘了三维结构,因此,可能会出现误差在定量评估期间。另一方面,锥束计算机断层扫描使图像最小化失真,允许在没有重叠的情况下对基本区域进行曝光。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New study results on artificial intell igence have been published. According to newsreporting from Anyang, South Korea , by NewsRx journalists, research stated, “Traditional cephalometricradiographs depict a three-dimensional structure in a two-dimensional plane; therefore, err ors may occurduring a quantitative assessment. Cone beam computed tomography, o n the other hand, minimizes imagedistortion, allowing essential areas to be obs erved without overlap.”

Key words

Hallym University Sacred Heart Hospital/Anyang/South Korea/Asia/Artificial Intelligence/Computed Tomography/Emergi ng Technologies/Imaging Technology/Machine Learning/Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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