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; ENHANCE research collaborators

doi:10.1016/j.cpsurg.2024.101576

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, ENHANCE research collaborators

^*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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Originalsprog	Engelsk
Artikelnummer	101576
Tidsskrift	Current Problems in Surgery
Vol/bind	61
Udgave nummer	10
Antal sider	13
ISSN	0011-3840
DOI	https://doi.org/10.1016/j.cpsurg.2024.101576
Status	Udgivet - 2024

Bibliografisk note

Funding Information:
IvH is supported by a Senior Clinical Fellowship (802314N) of the Fund for Scientific Research - Flanders, Belgium. This study was supported by an unrestricted general research grant from Medtronic (A1731784). The funder did not have any role in design of the study, data collection, analysis, interpretation, manuscript preparation or decision to publish the study.

Adgang til dokumentet

10.1016/j.cpsurg.2024.101576Licens: CC BY

FulltextForlagets udgivne version, 544 KBLicens: CC BY

Citationsformater

Machine learning enhances assessment of proficiency in endovascular aortic repair simulations. / Skov, Rebecca Andrea Conradsen; Lawaetz, Jonathan; Strøm, Michael; Van Herzeele, Isabelle; Konge, Lars ; Resch, Timothy Andrew ; Eiberg, Jonas Peter; ENHANCE research collaborators.

I: Current Problems in Surgery, Bind 61, Nr. 10, 101576, 2024.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

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note = "Funding Information: IvH is supported by a Senior Clinical Fellowship (802314N) of the Fund for Scientific Research - Flanders, Belgium. This study was supported by an unrestricted general research grant from Medtronic (A1731784). The funder did not have any role in design of the study, data collection, analysis, interpretation, manuscript preparation or decision to publish the study.",

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AU - Skov, Rebecca Andrea Conradsen

AU - Lawaetz, Jonathan

AU - Strøm, Michael

AU - Van Herzeele, Isabelle

AU - Konge, Lars

AU - Resch, Timothy Andrew

AU - Eiberg, Jonas Peter

AU - ENHANCE research collaborators

N1 - Funding Information: IvH is supported by a Senior Clinical Fellowship (802314N) of the Fund for Scientific Research - Flanders, Belgium. This study was supported by an unrestricted general research grant from Medtronic (A1731784). The funder did not have any role in design of the study, data collection, analysis, interpretation, manuscript preparation or decision to publish the study.

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Y1 - 2024

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DO - 10.1016/j.cpsurg.2024.101576

M3 - Journal article

C2 - 39266132

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VL - 61

JO - Current Problems in Surgery

JF - Current Problems in Surgery

SN - 0011-3840

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