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NRG Oncology Assessment of Artificial Intelligence Deep Learning-Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.

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Title: NRG Oncology Assessment of Artificial Intelligence Deep Learning-Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.
Authors: Rong Y; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona. Electronic address: rong.yi@mayo.edu., Chen Q; Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, Duarte, California., Fu Y; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Commack, New York., Yang X; Department of Radiation Oncology, Emory University, Atlanta, Georgia., Al-Hallaq HA; Department of Radiation Oncology, University of Chicago Comprehensive Cancer Center, Chicago, Illinois., Wu QJ; Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina., Yuan L; Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia., Xiao Y; Department of Radiation Oncology, University of Pennsylvania/Abramson Cancer Center, Philadelphia, Pennsylvania., Cai B; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas., Latifi K; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida., Benedict SH; Department of Radiation Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, California., Buchsbaum JC; National Cancer Institute, Bethesda, Maryland., Qi XS; Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, California.
Source: International journal of radiation oncology, biology, physics [Int J Radiat Oncol Biol Phys] 2024 May 01; Vol. 119 (1), pp. 261-280. Date of Electronic Publication: 2023 Nov 14.
Publication Type: Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Elsevier, Inc Country of Publication: United States NLM ID: 7603616 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-355X (Electronic) Linking ISSN: 03603016 NLM ISO Abbreviation: Int J Radiat Oncol Biol Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: NRG Oncology Assessment of Artificial Intelligence Deep Learning-Based Auto-segmentation for Radiation Therapy: Current Developments, Clinical Considerations, and Future Directions.
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  Data: <searchLink fieldCode="AU" term="%22Rong+Y%22">Rong Y</searchLink>; Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona. Electronic address: rong.yi@mayo.edu.<br /><searchLink fieldCode="AU" term="%22Chen+Q%22">Chen Q</searchLink>; Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, Duarte, California.<br /><searchLink fieldCode="AU" term="%22Fu+Y%22">Fu Y</searchLink>; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, Commack, New York.<br /><searchLink fieldCode="AU" term="%22Yang+X%22">Yang X</searchLink>; Department of Radiation Oncology, Emory University, Atlanta, Georgia.<br /><searchLink fieldCode="AU" term="%22Al-Hallaq+HA%22">Al-Hallaq HA</searchLink>; Department of Radiation Oncology, University of Chicago Comprehensive Cancer Center, Chicago, Illinois.<br /><searchLink fieldCode="AU" term="%22Wu+QJ%22">Wu QJ</searchLink>; Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.<br /><searchLink fieldCode="AU" term="%22Yuan+L%22">Yuan L</searchLink>; Department of Radiation Oncology, Virginia Commonwealth University, Richmond, Virginia.<br /><searchLink fieldCode="AU" term="%22Xiao+Y%22">Xiao Y</searchLink>; Department of Radiation Oncology, University of Pennsylvania/Abramson Cancer Center, Philadelphia, Pennsylvania.<br /><searchLink fieldCode="AU" term="%22Cai+B%22">Cai B</searchLink>; Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, Texas.<br /><searchLink fieldCode="AU" term="%22Latifi+K%22">Latifi K</searchLink>; Department of Radiation Oncology, Moffitt Cancer Center, Tampa, Florida.<br /><searchLink fieldCode="AU" term="%22Benedict+SH%22">Benedict SH</searchLink>; Department of Radiation Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, California.<br /><searchLink fieldCode="AU" term="%22Buchsbaum+JC%22">Buchsbaum JC</searchLink>; National Cancer Institute, Bethesda, Maryland.<br /><searchLink fieldCode="AU" term="%22Qi+XS%22">Qi XS</searchLink>; Department of Radiation Oncology, University of California-Los Angeles, Los Angeles, California.
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  Data: <searchLink fieldCode="JN" term="%227603616%22">International journal of radiation oncology, biology, physics</searchLink> [Int J Radiat Oncol Biol Phys] 2024 May 01; Vol. 119 (1), pp. 261-280. <i>Date of Electronic Publication: </i>2023 Nov 14.
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