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Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study.
Mashayekhi, Maryam; McBeth, Rafe; Nguyen, Dan; Yen, Allen; Trivedi, Zipalkumar; Moon, Dominic; Avkshtol, Vlad; Vo, Dat; Sher, David; Jiang, Steve; Lin, Mu-Han.
Afiliação
  • Mashayekhi M; Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • McBeth R; Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Nguyen D; Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Yen A; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Trivedi Z; Varian Medical, Palo Alto, CA, USA.
  • Moon D; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Avkshtol V; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Vo D; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Sher D; Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Jiang S; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
  • Lin MH; Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA.
Clin Transl Radiat Oncol ; 40: 100616, 2023 May.
Article em En | MEDLINE | ID: mdl-36968578
ABSTRACT
•AI dose predictor was fully integrated with treatment planning system and used as a physicain decision support tool to improve uniformity of practice.•Model was trained based on our standard of practice, but implemented at the time of expansion with 3 new physicians join the practice.•Phase 1 retrospective evaluation demonstrated the non-uniform practice among 3 MDs and only 52.9% frequency planner can achieve physicians' directives.•Significant improvement in practice uniformity of practice was observed after utilizing AI as DST and 80.4% frequency clinical plan can achieve AI-guided physician directives.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article