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

IF 2.6 3区医学 Q2 ANESTHESIOLOGY

BMC Anesthesiology Pub Date : 2025-05-26 DOI:10.1186/s12871-025-03130-x

Mia Gisselbaek, Joana Berger-Estilita, Arnout Devos, Pierre Luigi Ingrassia, Peter Dieckmann, Sarah Saxena

引用次数: 0

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.

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弥合科学家和临床医生之间的差距：解决临床人工智能集成中的协作挑战。

本文探讨了在人工智能（AI）集成方面弥合科学家和医疗保健专业人员之间差距的挑战。它强调了障碍、跨学科研究中心的作用，以及多样性、公平和包容的重要性。协作、教育和伦理人工智能发展对于优化人工智能在围手术期医学中的影响至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

BMC Anesthesiology ANESTHESIOLOGY-

CiteScore

3.50

自引率

4.50%

发文量

349

审稿时长

>12 weeks

期刊介绍： BMC Anesthesiology is an open access, peer-reviewed journal that considers articles on all aspects of anesthesiology, critical care, perioperative care and pain management, including clinical and experimental research into anesthetic mechanisms, administration and efficacy, technology and monitoring, and associated economic issues.