Clinical obstacles to machine-learning POCUS adoption and system-wide AI implementation (The COMPASS-AI survey).

Journal: The ultrasound journal
Published Date: Jul 3, 2025

Abstract

BACKGROUND: Point-of-care ultrasound (POCUS) has become indispensable in various medical specialties. The integration of artificial intelligence (AI) and machine learning (ML) holds significant promise to enhance POCUS capabilities further. However, a comprehensive understanding of healthcare professionals' perspectives on this integration is lacking.

Authors

  • Adrian Wong
    Division of Neurology Department of Medicine and Therapeutics Faculty of Medicine The Chinese University of Hong Kong Shatin NT Hong Kong.
  • Nurul Liana Roslan
    Department of Emergency Medicine, Hospital Kuala Lumpur, Kuala Lumpur, Malaysia.
  • Rory McDonald
    Academic Department of Anaesthesia and Critical Care, Royal Centre for Defence Medicine, Birmingham, UK.
  • Julina Noor
    Dept of Emergency Medicine, Faculty of Medicine, Universiti Teknologi MARA, Kuala Lumpur, Malaysia.
  • Sam Hutchings
    Academic Department of Anaesthesia and Critical Care, Royal Centre for Defence Medicine, Birmingham, UK.
  • Pradeep D'Costa
    Sahyadri Hospital, Shastri Nagar branch, Pune, India.
  • Gabriele Via
    Cardiac Anesthesia and Intensive Care, Ente Ospedaliero Cantonale (EOC), Istituto Cardiocentro Ticino, Università della Svizzera Italiana (USI), Lugano, Switzerland.
  • Francesco Corradi
    Department of Surgical, Medical, Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.

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