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A novel algorithm developed using machine learning and a J-ACCESS database can estimate defect scores from myocardial perfusion single-photon emission tomography images.

Keisuke KisoKenichi NakajimaYukitaka NimuraTsunehiko Nishimura
Published in: Annals of nuclear medicine (2024)
We created a new algorithm to estimate MPI scores using ML and the J-ACCESS database. This algorithm should provide accurate MPI interpretation even in facilities without specialist nuclear cardiologists, and might facilitate therapeutic decision-making and predict prognoses.
Keyphrases
  • deep learning
  • machine learning
  • decision making
  • convolutional neural network
  • neural network
  • adverse drug
  • high resolution
  • emergency department
  • optical coherence tomography
  • solid state