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Non-invasive imaging as the cornerstone of cardiovascular precision medicine.

Stephan AchenbachFriedrich FuchsAlexandra GoncalvesClaudia Kaiser-AlbersZiad A AliFrank M BengelStefanie DimmelerZahi Adel FayadAlexandre MebazaaBenjamin MederJagat NarulaAmil ShahSanjay SharmaJens-Uwe VoigtSven Plein
Published in: European heart journal. Cardiovascular Imaging (2022)
Advances in all imaging techniques continue to improve accuracy, sensitivity, and standardization of functional and prognostic assessments, and identify established and novel therapeutic targets. Combining imaging with artificial intelligence, machine learning and computer algorithms, as well as with genomic, transcriptomic, proteomic, and metabolomic approaches, will become state of the art in the future to understand pathologies of CAD and HF, and in the development of new, targeted therapies.
Keyphrases
  • machine learning
  • artificial intelligence
  • high resolution
  • deep learning
  • big data
  • coronary artery disease
  • heart failure
  • gene expression
  • current status
  • rna seq
  • label free