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Nature Communications|December 14, 2020
A meta-learning approach for genomic survival analysisYeping Lina Qiu, Hong Zheng, Arnout Devos, et al.
European Journal of Anaesthesiology|April 28, 2026
Post-operative delirium risk estimation and assessment with machine learning: development and validation of the Open-DREAM Model: A peri-operative dataset analysisArmin Berger, Mia Gisselbaek, Sarah Saxena, et al.
NPJ Digital Medicine|September 6, 2024
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical imagesKlavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy, et al.
BMC Anesthesiology|May 26, 2025
Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integrationMia Gisselbaek, Joana Berger-Estilita, Arnout Devos, et al.
Mayo Clinic Proceedings. Digital Health|June 9, 2025
Gender Disparities in Artificial Intelligence-Generated Images of Hospital Leadership in the United StatesMia Gisselbaek, Joana Berger-Estilita, Laurens Minsart, et al.
British Journal of Anaesthesia|February 8, 2025
A comparison of large language model-generated and published perioperative neurocognitive disorder recommendations: a cross-sectional web-based analysisSarah Saxena, Odmara L Barreto Chang, Melanie Suppan, et al.
Advances in Simulation (London, England)|May 4, 2025
AI and inclusion in simulation education and leadership: a global cross-sectional evaluation of diversityJoana Berger-Estilita, Mia Gisselbaek, Arnout Devos, et al.
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