@article{24c923ffe5ce4047924a923e4d6b460d,
title = "Machine learning enhances assessment of proficiency in endovascular aortic repair simulations",
keywords = "Humans, Machine Learning, Endovascular Procedures/methods, Clinical Competence, Simulation Training/methods, Endovascular Aneurysm Repair",
author = "Skov, \{Rebecca Andrea Conradsen\} and Jonathan Lawaetz and Michael Str{\o}m and \{Van Herzeele\}, Isabelle and Lars Konge and Resch, \{Timothy Andrew\} and Eiberg, \{Jonas Peter\} and \{ENHANCE research collaborators\}",
year = "2024",
month = oct,
doi = "10.1016/j.cpsurg.2024.101576",
language = "English",
volume = "61",
journal = "Current problems in surgery",
issn = "0011-3840",
publisher = "Elsevier Inc.",
number = "10",
}