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

Gisselbaek, MiaMiaGisselbaekBerger-Estilita, JoanaJoanaBerger-EstilitaDevos, ArnoutArnoutDevosIngrassia, Pierre LuigiPierre LuigiIngrassiaDieckmann, PeterPeterDieckmannSaxena, SarahSarahSaxena2025-07-222025-07-222025-05-26https://boris-portal.unibe.ch/handle/20.500.12422/211693This 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.Not applicable.enAIArtificial intelligenceDEIEducation600 - Technology::610 - Medicine & healthBridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration.article10.48620/897154041998410.1186/s12871-025-03130-x