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Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs.
Larson, Nathan; Nguyen, Chantal; Do, Bao; Kaul, Aryan; Larson, Anna; Wang, Shannon; Wang, Erin; Bultman, Eric; Stevens, Kate; Pai, Jason; Ha, Audrey; Boutin, Robert; Fredericson, Michael; Do, Long; Fang, Charles.
Afiliación
  • Larson N; Computer Science Department, Brigham Young University, Campus Dr, Provo, UT, 3361 TMCB84604, USA.
  • Nguyen C; Department of Orthopedic Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
  • Do B; Department of Radiology, Palo Alto VA Medical Center, 3801 Miranda Ave, Palo Alto, CA, 94304, USA.
  • Kaul A; University of California, Los Angeles, Los Angeles, CA, 90095, USA.
  • Larson A; Computer Science Department, Brigham Young University, Campus Dr, Provo, UT, 3361 TMCB84604, USA.
  • Wang S; University of California, Los Angeles, Los Angeles, CA, 90095, USA.
  • Wang E; Harvey Mudd College, Claremont, CA, 91711, USA.
  • Bultman E; Department of Radiology, Palo Alto VA Medical Center, 3801 Miranda Ave, Palo Alto, CA, 94304, USA.
  • Stevens K; Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
  • Pai J; Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
  • Ha A; Menlo-Atherton High School, Atherton, CA, 94025, USA.
  • Boutin R; Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
  • Fredericson M; Department of Orthopedic Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, 94305, USA.
  • Do L; , San Jose, CA, USA.
  • Fang C; Department of Radiology, Palo Alto VA Medical Center, 3801 Miranda Ave, Palo Alto, CA, 94304, USA. Charles.Fang@va.gov.
J Digit Imaging ; 35(6): 1494-1505, 2022 12.
Article en En | MEDLINE | ID: mdl-35794502

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Observational_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Radiología / Inteligencia Artificial Tipo de estudio: Diagnostic_studies / Observational_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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