弥合科学家与临床医生之间的差距：应对临床人工智能整合中的协作挑战。
Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration.
作者信息
Gisselbaek Mia, Berger-Estilita Joana, Devos Arnout, Ingrassia Pierre Luigi, Dieckmann Peter, Saxena Sarah
机构信息
Division of Anesthesiology, Department of Anesthesiology, Clinical Pharmacology, Intensive Care and Emergency Medicine, Geneva University Hospitals and Faculty of Medicine, Geneva, Switzerland.
Unit of Development and Research in Medical Education (UDREM), Faculty of Medicine, University of Geneva, Geneva, Switzerland.
出版信息
BMC Anesthesiol. 2025 May 26;25(1):269. doi: 10.1186/s12871-025-03130-x.
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.
本文探讨了在人工智能（AI）整合过程中弥合科学家与医疗保健专业人员之间差距所面临的挑战。它强调了障碍、跨学科研究中心的作用以及多样性、公平性和包容性的重要性。合作、教育和符合伦理的人工智能开发对于优化人工智能在围手术期医学中的影响至关重要。
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