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

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

doi:10.1186/s12871-025-03130-x

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

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

^*Corresponding author for this work

Copenhagen Academy for Medical Education and Simulation

10 Citations (Scopus)

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.

Original language	English
Article number	269
Journal	BMC Anesthesiology
Volume	25
Issue number	1
Pages (from-to)	269
ISSN	1471-2253
DOIs	https://doi.org/10.1186/s12871-025-03130-x
Publication status	Published - 26 May 2025

Keywords

AI
Artificial intelligence
DEI
Education

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10.1186/s12871-025-03130-xLicence: CC BY-NC-ND

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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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AU - Dieckmann, Peter

AU - Saxena, Sarah

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KW - DEI

KW - Education

UR - https://www.scopus.com/pages/publications/105006766959

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

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Keywords

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