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CBCT segmentation of the mandibular canal with both semi-automated and fully automated methods: A systematic review

Clinical Epidemiology and Global Health, ISSN: 2213-3984, Vol: 29, Page: 101760
2024
  • 0
    Citations
  • 0
    Usage
  • 5
    Captures
  • 1
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Captures
    5
  • Mentions
    1
    • News Mentions
      1
      • News
        1

Most Recent News

Research from Manipal Academy of Higher Education in Epidemiology and Global Health Provides New Insights (CBCT segmentation of the mandibular canal with both semi-automated and fully automated methods: A systematic review)

2024 AUG 29 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Daily -- Fresh data on epidemiology and global health are

Review Description

The application of AI algorithms for the detection of the mandibular canal in Cone Beam Computed Tomography (CBCT) holds immense promise in dentistry. This review aimed to identify the semi and fully automated algorithm to localize the mandibular canal. An extensive search was conducted and, out of which 12 articles are considered for review. The result revealed using various AI algorithms achieved better accuracy in localizing the mandibular canal with reporting sensitivity and specificity above 90 %. In conclusion, it is noted that the application of AI algorithms in dentistry can provide significant benefits like improving the accuracy of reporting.

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