A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy

Authors

Hugo J.W.L. Aerts (ORCID: https://orcid.org/0000-0002-2122-2003)
T.K. Kosak
Christopher E. Kehayias (ORCID: https://orcid.org/0009-0009-1513-681X)
Sarah Quirk (ORCID: https://orcid.org/0000-0002-1514-5814)
Scott Friesen
Dennis Bontempi (ORCID: https://orcid.org/0000-0003-0775-5679)
Jeremy S. Bredfeldt
Raymond H. Mak (ORCID: https://orcid.org/0000-0002-8754-0565)
Roy B. Tishler (ORCID: https://orcid.org/0000-0002-0012-6055)
Itai Pashtan (ORCID: https://orcid.org/0000-0002-8146-8451)
Mai Anh Huynh (ORCID: https://orcid.org/0000-0003-0641-9745)
Christian V. Guthier
M. Kearney

Institutions

Brigham and Women's Hospital (US)
Harvard University (US)
Dana-Farber Cancer Institute (US)
Dana-Farber Brigham Cancer Center (US)

Publication Details

Journal: The Lancet Digital Health
Published: 2024-12-24
DOI: https://doi.org/10.1016/s2589-7500(24)00243-7
Citations: 5
Primary Topic: Medical Imaging and Analysis
Type: article
Field-Weighted Citation Impact: 0.92

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article

A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy

Hugo J.W.L. Aerts, T.K. Kosak, Christopher E. Kehayias, Sarah Quirk et al.

Dec 24, 2024

5 citations

The Lancet Digital Health

Medical Imaging and Analysis

0.92

article

A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy

Hugo J.W.L. Aerts, T.K. Kosak, Christopher E. Kehayias, Sarah Quirk, Scott Friesen, Dennis Bontempi, Jeremy S. Bredfeldt, Raymond H. Mak, Roy B. Tishler, Itai Pashtan, Mai Anh Huynh, Christian V. Guthier, M. Kearney

December 24, 2024article en

5 citations

Abstract

No abstract available for this paper.

The Lancet Digital HealthVol. 7(1)

Brigham and Women's Hospital (US), Harvard University (US), Dana-Farber Cancer Institute (US), Dana-Farber Brigham Cancer Center (US)

Openalex Percentile: Top 27%

Medical Imaging and Analysis

0.92

DOI Open Access PDF OpenAlex

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A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy — Hugo J.W.L. Aerts, T.K. Kosak, et al. · The Lancet Digital Health (2024) | TGRS Research Map | TGRS