Nature Communications (Jul 2022)

Emergency triage of brain computed tomography via anomaly detection with a deep generative model

  • Seungjun Lee,
  • Boryeong Jeong,
  • Minjee Kim,
  • Ryoungwoo Jang,
  • Wooyul Paik,
  • Jiseon Kang,
  • Won Jung Chung,
  • Gil-Sun Hong,
  • Namkug Kim

DOI
https://doi.org/10.1038/s41467-022-31808-0
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Triage is essential for the early diagnosis and reporting of emergency patients in the emergency department. Here, the authors develop an anomaly detection algorithm with a deep generative model that reprioritizes radiology worklists and provides lesion attention maps for brain CT images with critical findings.