Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review.

Journal: European radiology
Published Date: Sep 2, 2023

Abstract

OBJECTIVE: Although artificial intelligence (AI) has demonstrated promise in enhancing breast cancer diagnosis, the implementation of AI algorithms in clinical practice encounters various barriers. This scoping review aims to identify these barriers and facilitators to highlight key considerations for developing and implementing AI solutions in breast cancer imaging.

Authors

  • Belinda Lokaj
    Division of Medical Information Sciences, University Hospitals of Geneva.
  • Marie-Thérèse Pugliese
    Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Delémont, Switzerland.
  • Karen Kinkel
    Réseau Hospitalier Neuchâtelois, Neuchâtel, Switzerland.
  • Christian Lovis
    Division of Medical Information Sciences Geneva University Hospitals and University of Geneva.
  • Jérôme Schmid
    Geneva School of Health Sciences, HES-SO University of Applied Sciences and Arts Western Switzerland, Delémont, Switzerland.

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