Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration.

Journal: BMC anesthesiology
Published Date: May 26, 2025

Abstract

This article explores challenges for bridging the gap between scientists and healthcare professionals in artifical intelligence (AI) integration. It highlights barriers, the role of interdisciplinary research centers, and the importance of diversity, equity, and inclusion. Collaboration, education, and ethical AI development are essential for optimizing AI's impact in perioperative medicine.

Authors

  • Mia Gisselbaek
    Division of Anesthesiology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland. Mia.gisselbaek@gmail.com.
  • Joana Berger-Estilita
    Institute for Medical Education, University of Bern, Bern, Switzerland.
  • Arnout Devos
    ETH AI Center, Swiss Federal Institute of Technology Zurich (ETH Zurich), Zurich, Switzerland.
  • Pierre Luigi Ingrassia
    Centro di Simulazione (CeSi), Centro Professionale Sociosanitario Medico-Tecnico, Lugano, Switzerland.
  • Peter Dieckmann
    Copenhagen Academy for Medical Education and Simulation (CAMES), Herlev, Copenhagen, Capital Region of Denmark, Denmark.
  • Sarah Saxena
    Department of Anesthesiology, Helora, Mons, Belgium.

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