177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning Toolset

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Main Authors: Tobi J. Somorin, BS, Wenzheng Tao, MS, Janina Kueper, MD, Nicolas Kass, BA, Angel Dixon, BA, Nawazish Khan, MS, Krithika Iyer, BE, Jake Wagoner, BS, Ross Whitaker, PhD, Ashley Rogers, MD, Shireen Elhabian, PhD, Jesse Goldstein, MD
Format: Article
Language:English
Published: Wolters Kluwer 2025-05-01
Series:Plastic and Reconstructive Surgery, Global Open
Online Access:http://journals.lww.com/prsgo/fulltext/10.1097/01.GOX.0001112656.13564.f4
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author Tobi J. Somorin, BS
Wenzheng Tao, MS
Janina Kueper, MD
Nicolas Kass, BA
Angel Dixon, BA
Nawazish Khan, MS
Krithika Iyer, BE
Jake Wagoner, BS
Ross Whitaker, PhD
Ashley Rogers, MD
Shireen Elhabian, PhD
Jesse Goldstein, MD
author_facet Tobi J. Somorin, BS
Wenzheng Tao, MS
Janina Kueper, MD
Nicolas Kass, BA
Angel Dixon, BA
Nawazish Khan, MS
Krithika Iyer, BE
Jake Wagoner, BS
Ross Whitaker, PhD
Ashley Rogers, MD
Shireen Elhabian, PhD
Jesse Goldstein, MD
author_sort Tobi J. Somorin, BS
collection DOAJ
format Article
id doaj-art-2e30c9d36b884b4fa3bda689b8e339ce
institution OA Journals
issn 2169-7574
language English
publishDate 2025-05-01
publisher Wolters Kluwer
record_format Article
series Plastic and Reconstructive Surgery, Global Open
spelling doaj-art-2e30c9d36b884b4fa3bda689b8e339ce2025-08-20T01:56:52ZengWolters KluwerPlastic and Reconstructive Surgery, Global Open2169-75742025-05-0113S112112210.1097/01.GOX.0001112656.13564.f4202505001-00174177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning ToolsetTobi J. Somorin, BS0Wenzheng Tao, MS1Janina Kueper, MD2Nicolas Kass, BA3Angel Dixon, BA4Nawazish Khan, MS5Krithika Iyer, BE6Jake Wagoner, BS7Ross Whitaker, PhD8Ashley Rogers, MD9Shireen Elhabian, PhD10Jesse Goldstein, MD111 Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA2 University of Utah, Salt Lake City, UT, USA.1 Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA1 Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA1 Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA2 University of Utah, Salt Lake City, UT, USA.2 University of Utah, Salt Lake City, UT, USA.2 University of Utah, Salt Lake City, UT, USA.2 University of Utah, Salt Lake City, UT, USA.1 Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA2 University of Utah, Salt Lake City, UT, USA.1 Children’s Hospital of Pittsburgh, Pittsburgh, PA, USAhttp://journals.lww.com/prsgo/fulltext/10.1097/01.GOX.0001112656.13564.f4
spellingShingle Tobi J. Somorin, BS
Wenzheng Tao, MS
Janina Kueper, MD
Nicolas Kass, BA
Angel Dixon, BA
Nawazish Khan, MS
Krithika Iyer, BE
Jake Wagoner, BS
Ross Whitaker, PhD
Ashley Rogers, MD
Shireen Elhabian, PhD
Jesse Goldstein, MD
177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning Toolset
Plastic and Reconstructive Surgery, Global Open
title 177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning Toolset
title_full 177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning Toolset
title_fullStr 177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning Toolset
title_full_unstemmed 177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning Toolset
title_short 177. Assessing Regional Sagittal Craniosynostosis Severity Using the CraniorateTM Machine Learning Toolset
title_sort 177 assessing regional sagittal craniosynostosis severity using the cranioratetm machine learning toolset
url http://journals.lww.com/prsgo/fulltext/10.1097/01.GOX.0001112656.13564.f4
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