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Article Synopsis
  • The study investigates the use of 64-slice multislice spiral CT (MSCT) combined with artificial neural networks in diagnosing tracheal issues in children, specifically focusing on identifying bronchial foreign bodies.
  • Conducted from June to December 2020, the research involved 100 children who were divided into a study group and a control group, with the detection rate of foreign bodies in the control group being 84% and identified various locations of the foreign bodies.
  • Results indicate that the MSCT method significantly outperforms traditional X-ray in detection rates and provides better visualization of the shape and location of foreign bodies, suggesting it should be utilized more widely in clinical
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