Addressing hidden risks: Systematic review of artificial intelligence biases across racial and ethnic groups in cardiovascular diseases.

Journal: European journal of radiology
PMID: 39637580

Abstract

BACKGROUND: Artificial intelligence (AI)-based models are increasingly being integrated into cardiovascular medicine. Despite promising potential, racial and ethnic biases remain a key concern regarding the development and implementation of AI models in clinical settings.

Authors

  • Riccardo Cau
    Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.), di Cagliari, Cagliari.
  • Francesco Pisu
    Department of Radiology, Azienda Ospedaliero Universitaria, Monserrato, Cagliari, Italy.
  • Jasjit S Suri
    Advanced Knowledge Engineering Center, Global Biomedical Technologies, Inc., Roseville, CA, USA. Electronic address: jsuri@comcast.net.
  • Luca Saba
    Department of Radiology, A.O.U., Italy.

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