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The influence of artificial intelligence assistance on the diagnostic performance of CCTA for coronary stenosis for radiologists with different levels of experience.

Xianjun HanYi HeNan LuoDandan ZhengMin HongZhenchang WangZheng-Han Yang
Published in: Acta radiologica (Stockholm, Sweden : 1987) (2022)
CCTA-AI could assist with and improve the diagnostic performance of radiologists with different experience levels, with Level I radiologists exhibiting improved sensitivity and Level III radiologists exhibiting improved specificity. The use of CCTA-AI could shorten the training time for radiologists.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • coronary artery
  • coronary artery disease
  • heart failure
  • left ventricular