Machine learning enhances assessment of proficiency in endovascular aortic repair simulations. | LitMetric

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Machine learning enhances assessment of proficiency in endovascular aortic repair simulations. | LitMetric

Machine learning enhances assessment of proficiency in endovascular aortic repair simulations.

Rebecca Andrea Conradsen Skov Jonathan Lawaetz Michael Strøm Isabelle Van Herzeele Lars Konge Timothy Andrew Resch Jonas Peter Eiberg

Curr Probl Surg

Department of Vascular Surgery, Copenhagen University Hospital - Rigshospitalet, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark; Copenhagen Academy for Medical Education and Simulation (CAMES), Denmark.

Published: October 2024

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Source

http://dx.doi.org/10.1016/j.cpsurg.2024.101576 DOI Listing

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