AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversity

Abstract Background Simulation-based medical education (SBME) is a critical training tool in healthcare, shaping learners’ skills, professional identities, and inclusivity. Leadership demographics in SBME, including age, gender, race/ethnicity, and medical specialties, influence program design and l...

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Principais autores:	Joana Berger-Estilita, Mia Gisselbaek, Arnout Devos, Albert Chan, Pier Luigi Ingrassia, Basak Ceyda Meco, Odmara L. Barreto Chang, Georges L. Savoldelli, Francisco Maio Matos, Peter Dieckmann, Doris Østergaard, Sarah Saxena
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-05-01
Serija:	Advances in Simulation
Teme:	Simulation-based medical education Artificial intelligence (AI) Diversity and inclusion Gender representation Healthcare education Bias
Online dostop:	https://doi.org/10.1186/s41077-025-00355-1
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