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Prospective study of artificial intelligence-based decision support to improve head and neck radiotherapy plan quality.
Sher, David J; Godley, Andrew; Park, Yang; Carpenter, Colin; Nash, Marc; Hesami, Hasti; Zhong, Xinran; Lin, Mu-Han.
Affiliation
  • Sher DJ; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
  • Godley A; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
  • Park Y; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
  • Carpenter C; Siris Medical, United States.
  • Nash M; Siris Medical, United States.
  • Hesami H; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
  • Zhong X; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
  • Lin MH; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, United States.
Clin Transl Radiat Oncol ; 29: 65-70, 2021 Jul.
Article in En | MEDLINE | ID: mdl-34159264
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Clin Transl Radiat Oncol Year: 2021 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Clin Transl Radiat Oncol Year: 2021 Document type: Article Affiliation country: Country of publication: