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Using Artificial Intelligence to Improve the Quality and Safety of Radiation Therapy.
Pillai, Malvika; Adapa, Karthik; Das, Shiva K; Mazur, Lukasz; Dooley, John; Marks, Lawrence B; Thompson, Reid F; Chera, Bhishamjit S.
Affiliation
  • Pillai M; Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina.
  • Adapa K; Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina.
  • Das SK; Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina.
  • Mazur L; Carolina Health Informatics Program, University of North Carolina, Chapel Hill, North Carolina; Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina.
  • Dooley J; Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina.
  • Marks LB; Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina.
  • Thompson RF; Department of Radiation Medicine, Oregon Health & Science University, Portland, Oregon; Division of Hospital and Specialty Medicine, VA Portland Healthcare System, Portland, Oregon. Electronic address: thompsre@ohsu.edu.
  • Chera BS; Department of Radiation Oncology, University of North Carolina, Chapel Hill, North Carolina.
J Am Coll Radiol ; 16(9 Pt B): 1267-1272, 2019 Sep.
Article in En | MEDLINE | ID: mdl-31492404
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy / Artificial Intelligence / Safety Management / Quality Improvement / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Am Coll Radiol Journal subject: RADIOLOGIA Year: 2019 Document type: Article Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Radiotherapy / Artificial Intelligence / Safety Management / Quality Improvement / Machine Learning Type of study: Prognostic_studies Limits: Humans Language: En Journal: J Am Coll Radiol Journal subject: RADIOLOGIA Year: 2019 Document type: Article Country of publication: Estados Unidos