A Systematic Review and Bibliometric Analysis of Applications of Artificial Intelligence and Machine Learning in Vascular Surgery.

Journal: Annals of vascular surgery
PMID: 35339595

Abstract

BACKGROUND: Artificial intelligence (AI) and machine learning (ML) have seen increasingly intimate integration with medicine and healthcare in the last 2 decades. The objective of this study was to summarize all current applications of AI and ML in the vascular surgery literature and to conduct a bibliometric analysis of published studies.

Authors

  • Arshia P Javidan
    Division of Vascular Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada. Electronic address: Arshia.javidan@mail.utoronto.ca.
  • Allen Li
    Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada.
  • Michael H Lee
    Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Thomas L Forbes
    Department of Surgery, University of Toronto, Toronto, Ontario, Canada; Peter Munk Cardiac Centre, University Health Network, Toronto, Ontario, Canada.
  • Faysal Naji
    Department of Vascular Surgery, McMaster University, Hamilton, Ontario, Canada.

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