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Artificial intelligence and digital pathology: clinical promise and deployment considerations.
Zarella, Mark D; McClintock, David S; Batra, Harsh; Gullapalli, Rama R; Valante, Michael; Tan, Vivian O; Dayal, Shubham; Oh, Kei Shing; Lara, Haydee; Garcia, Chris A; Abels, Esther.
Afiliación
  • Zarella MD; Mayo Clinic, Division of Computational Pathology and AI, Department of Laboratory Medicine and Pathology, Rochester, Minnesota, United States.
  • McClintock DS; Mayo Clinic, Division of Computational Pathology and AI, Department of Laboratory Medicine and Pathology, Rochester, Minnesota, United States.
  • Batra H; University of Texas MD Anderson Cancer Center, Department of Translational Molecular Pathology, Houston, Texas, United States.
  • Gullapalli RR; University of New Mexico, Department of Pathology, Albuquerque, New Mexico, United States.
  • Valante M; University of New Mexico, Chemical and Biological Engineering, Albuquerque, New Mexico, United States.
  • Tan VO; Dell Technologies, Unstructured Data Solutions, Hopkinton, Massachusetts, United States.
  • Dayal S; Leica Biosystems, Medical and Scientific Affairs, Vista, California, United States.
  • Oh KS; Leica Biosystems, Medical and Scientific Affairs, Danvers, Massachusetts, United States.
  • Lara H; Mount Sinai Medical Center, Miami Beach, Florida, United States.
  • Garcia CA; Biomarker Development, Alexion-AstraZeneca Rare Disease Unit, New Haven, Connecticut, United States.
  • Abels E; Mayo Clinic, Division of Computational Pathology and AI, Department of Laboratory Medicine and Pathology, Rochester, Minnesota, United States.
J Med Imaging (Bellingham) ; 10(5): 051802, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37528811
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: J Med Imaging (Bellingham) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Guideline Idioma: En Revista: J Med Imaging (Bellingham) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos