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在牙科诊断成像中深度学习和人工智能.

Akitoshi Katsumata1

  • 1Department of Oral Radiology, Asahi University School of Dentistry, Japan.

The Japanese dental science review
|October 9, 2023
PubMed
概括

使用深度学习的人工智能 (AI) 正在推进牙科诊断成像. 人工智能工具现在可以对异常进行分类,识别牙,甚至可以从牙图像中生成报告.

科学领域:

  • 牙科 牙科是指牙科的专业.
  • 医疗成像医学成像
  • 人工智能的人工智能

背景情况:

  • 牙科诊断成像中的深度学习应用正在迅速扩展.
  • 各种深度学习任务正在适应分析牙图像.

研究的目的:

  • 探索深度学习在牙科诊断成像中的多样化应用.
  • 突出AI在分类,检测,细分和报告生成等任务中的能力.

主要方法:

  • 使用分类任务来识别异常发现和病变进展.
  • 使用区域检测和细分用于牙识别和牙图谱.
  • 利用深度学习进行解剖结构分析.
  • 实现生成性AI与自然语言处理,用于自动化报告创建.

主要成果:

  • 深度学习有效地分类牙图像用于诊断目的.
  • 人工智能能够自动识别牙,并从X光照中创建牙科图表.
  • 人工智能有助于检测和评估解剖结构.
  • 生成型人工智能可以自动生成书面诊断成像报告.

结论:

关键词:
分类 分类 分类 分类.深度学习是一种深度学习.牙科成像 牙科成像全景射线图 (Panoramic Radiograph) 是一个全景射线图.地区检测检测区域检测分段化 分段化 分段化 分段化

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  • 深度学习提供了一套强大的工具来增强牙科诊断.
  • 人工智能应用程序简化工作流程,提高准确性,并有助于临床决策.
  • 人工智能的整合有望彻底改变牙科成像分析和报告.