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Artificial intelligence in spine care: current applications and future utility.
Hornung, Alexander L; Hornung, Christopher M; Mallow, G Michael; Barajas, J Nicolás; Rush, Augustus; Sayari, Arash J; Galbusera, Fabio; Wilke, Hans-Joachim; Colman, Matthew; Phillips, Frank M; An, Howard S; Samartzis, Dino.
Afiliación
  • Hornung AL; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Hornung CM; University of Minnesota Medical School, Minneapolis, MN, USA.
  • Mallow GM; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Barajas JN; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Rush A; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Sayari AJ; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Galbusera F; Spine Center, Schulthess Klinik, Zurich, Switzerland.
  • Wilke HJ; Institute of Orthopaedic Research and Biomechanics, Trauma Research Center Ulm, Ulm University, Ulm, Germany.
  • Colman M; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Phillips FM; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • An HS; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA.
  • Samartzis D; Department of Orthopaedic Surgery, Rush University Medical Center, Chicago, IL, USA. Dino_Samartzis@rush.edu.
Eur Spine J ; 31(8): 2057-2081, 2022 08.
Article en En | MEDLINE | ID: mdl-35347425
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Adolescent / Humans Idioma: En Revista: Eur Spine J Asunto de la revista: ORTOPEDIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Aprendizaje Automático Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Adolescent / Humans Idioma: En Revista: Eur Spine J Asunto de la revista: ORTOPEDIA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania