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

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.

Publication Details

Journal
Repository for Publications and Research Data (ETH Zurich)
Published
2025-01-01
DOI
https://doi.org/10.3929/ethz-b-000738658
Primary Topic
Arduino and IoT Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Repository for Publications and Research Data (ETH Zurich)
Arduino and IoT Applications
article

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

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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.

Repository for Publications and Research Data (ETH Zurich)
Reduced inequalities
Openalex Percentile: Top 54%
Arduino and IoT Applications
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Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration · Repository for Publications and Research Data (ETH Zurich) (2025) | TGRS Research Map | TGRS