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Prognostic impact of artificial intelligence-based fully automated global circumferential strain in patients undergoing stress CMR.

Théo PezelPhilippe GarotSolenn ToupinThomas HovasseFrancesca SanguinetiStéphane ChampagneStéphane MorissetTeodora ChitiboiAthira J JacobPuneet SharmaThierry UnterseehJérôme Garot
Published in: European heart journal. Cardiovascular Imaging (2023)
Stress-GCS is not a predictor of MACE in patients with ischaemia, but has an incremental prognostic value in those with a normal CMR although the absolute event rate remains low.
Keyphrases
  • artificial intelligence
  • machine learning
  • deep learning
  • patients undergoing
  • big data
  • stress induced
  • heat stress