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Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.
Patel, Malhar; Dayan, Ittai; Fishman, Elliot K; Flores, Mona; Gilbert, Fiona J; Guindy, Michal; Koay, Eugene J; Rosenthal, Michael; Roth, Holger R; Linguraru, Marius G.
Afiliación
  • Patel M; Rhino Health, Boston, MA, USA.
  • Dayan I; Rhino Health, Boston, MA, USA.
  • Fishman EK; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Flores M; NVIDIA, Santa Clara, CA, USA.
  • Gilbert FJ; Department of Radiology, NIHR Cambridge Biomedical Resource Centre, University of Cambridge, Cambridge, CB, USA.
  • Guindy M; Assuta Medical Centers, Tel Aviv, Israel; BGU University Israel, Beer-Sheva, Israel.
  • Koay EJ; Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Rosenthal M; Dana-Farber Cancer Institute, Boston, MA, USA; Brigham & Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
  • Roth HR; NVIDIA, Santa Clara, CA, USA.
  • Linguraru MG; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC, USA; Departments of Radiology and Pediatrics, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
Health Informatics J ; 29(4): 14604582231207744, 2023.
Article en En | MEDLINE | ID: mdl-37864543

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Inteligencia Artificial Límite: Humans Idioma: En Revista: Health Informatics J Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Inteligencia Artificial Límite: Humans Idioma: En Revista: Health Informatics J Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido