Machine-learning approaches for risk prediction in transcatheter aortic valve implantation: Systematic review and meta-analysis.

Journal: The Journal of thoracic and cardiovascular surgery
Published Date: May 28, 2024

Abstract

OBJECTIVES: With the expanding integration of artificial intelligence (AI) and machine learning (ML) into the structural heart domain, numerous ML models have emerged for the prediction of adverse outcomes after transcatheter aortic valve implantation (TAVI). We aim to identify, describe, and critically appraise ML prediction models for adverse outcomes after TAVI. Key objectives consisted in summarizing model performance, evaluating adherence to reporting guidelines, and transparency.

Authors

  • Xander Jacquemyn
    Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium. Electronic address: xander.jacquemyn@outlook.com.
  • Emanuel Van Onsem
    Department of Cardiovascular Sciences, KU Leuven, Leuven, Belgium.
  • Keith Dufendach
    Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pa; UPMC Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pa.
  • James A Brown
    Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pa; UPMC Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pa.
  • Dustin Kliner
    UPMC Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pa; Department of Interventional Cardiology, University of Pittsburgh, Pittsburgh, Pa.
  • Catalin Toma
    UPMC Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pa; Department of Interventional Cardiology, University of Pittsburgh, Pittsburgh, Pa.
  • Derek Serna-Gallegos
    Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pa; UPMC Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pa.
  • Michel Pompeu Sá
    Department of Cardiothoracic Surgery, University of Pittsburgh, Pittsburgh, Pa; UPMC Heart and Vascular Institute, University of Pittsburgh Medical Center, Pittsburgh, Pa.
  • Ibrahim Sultan
    Division of Cardiac Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.

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