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Performance of artificial intelligence-based software for the automatic detection of lung lesions on chest radiographs of patients with suspected lung cancer.

Atsushi TakamatsuMidori UenoKotaro YoshidaTakeshi KobayashiSatoshi KobayashiToshifumi Gabata
Published in: Japanese journal of radiology (2023)
The nodule detection sensitivity of CXR-AID on chest radiographs was 0.80, and the non-target and non-target normal areas per image were 0.85 and 0.24, respectively. Larger, solid nodules without overlapping structures were detected more readily by CXR-AID.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • loop mediated isothermal amplification
  • real time pcr
  • label free
  • high resolution