Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration
Mia Gisselbaek, Joana Berger‐Estilita, Arnout Devos, Pier Luigi Ingrassia, Peter Dieckmann, Sarah Saxena
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.
Topics & Concepts
Bridging (networking)AnesthesiologyMedicineMedical educationEngineering ethicsData scienceComputer scienceEngineeringPathologyComputer networkArtificial Intelligence in Healthcare and EducationBiomedical and Engineering EducationArtificial Intelligence in Healthcare