Predicting radiographic outcomes of vertebral body tethering in adolescent idiopathic scoliosis patients using machine learning

Ausilah Alfraihat; Amer F. Samdani; Sriram Balasubramanian

doi:10.1371/journal.pone.0296739

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Peer-reviewed

Research Article

Predicting radiographic outcomes of vertebral body tethering in adolescent idiopathic scoliosis patients using machine learning

Ausilah Alfraihat,

Roles Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

Affiliations School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States of America, Hashemite University, Zarqa, Jordan
⨯
Amer F. Samdani,

Roles Formal analysis, Resources, Writing – review & editing

Affiliation Shriners Hospitals for Children, Philadelphia, PA, United States of America
⨯
Sriram Balasubramanian

Roles Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft

* E-mail: sb939@drexel.edu

Affiliation School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States of America

https://orcid.org/0000-0002-7886-6184

⨯

Predicting radiographic outcomes of vertebral body tethering in adolescent idiopathic scoliosis patients using machine learning

Ausilah Alfraihat,
Amer F. Samdani,
Sriram Balasubramanian

Published: January 12, 2024
https://doi.org/10.1371/journal.pone.0296739

About the Authors

Ausilah Alfraihat

Roles Formal analysis, Investigation, Methodology, Software, Visualization, Writing – original draft

Affiliations School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States of America, Hashemite University, Zarqa, Jordan

Amer F. Samdani

Roles Formal analysis, Resources, Writing – review & editing

Affiliation Shriners Hospitals for Children, Philadelphia, PA, United States of America

Sriram Balasubramanian

Roles Data curation, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Visualization, Writing – original draft

* E-mail: sb939@drexel.edu

Affiliation School of Biomedical Engineering, Science and Health Systems, Drexel University, Philadelphia, PA, United States of America

https://orcid.org/0000-0002-7886-6184

Competing Interests

The authors have declared that no competing interests exist.

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Surgical and invasive medical procedures
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Artificial intelligence
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Learning curves
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Kyphosis
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Vertebrae
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Machine learning
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Forecasting
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Spine
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