Insights into Imaging (Mar 2023)

Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm

  • Yueh-Sheng Chen,
  • Sheng-Dean Luo,
  • Chi-Hsun Lee,
  • Jian-Feng Lin,
  • Te-Yen Lin,
  • Sheung-Fat Ko,
  • Chiun-Chieh Yu,
  • Pi-Ling Chiang,
  • Cheng-Kang Wang,
  • I.-Min Chiu,
  • Yii-Ting Huang,
  • Yi-Fan Tai,
  • Po-Teng Chiang,
  • Wei-Che Lin

DOI
https://doi.org/10.1186/s13244-023-01385-x
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 9

Abstract

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Key points The AI-aided interpretation improved the accuracy for doctors of every specialty. The AI model accurately identified more cases than the radiologists’ reports. The AI model increased the detection rate and may decrease required CT imaging.

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