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Artificial intelligence for prediction of treatment outcomes in breast cancer: Systematic review of design, reporting standards, and bias.
Corti, Chiara; Cobanaj, Marisa; Marian, Federica; Dee, Edward C; Lloyd, Maxwell R; Marcu, Sara; Dombrovschi, Andra; Biondetti, Giorgio P; Batalini, Felipe; Celi, Leo A; Curigliano, Giuseppe.
Afiliación
  • Corti C; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Haematology (DIPO), University of Milan, Milan, Italy. Electronic address: chiara.corti@ieo.it.
  • Cobanaj M; Department of Electronics Informatics and Bioengineering, Polytechnic University of Milan, Milan, Italy.
  • Marian F; DaVinci Healthcare, Milan, Italy.
  • Dee EC; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
  • Lloyd MR; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
  • Marcu S; S.A.T.E. Systems and Advanced Technologies Engineering, Venice, Italy.
  • Dombrovschi A; synbrAIn, Milan, Italy.
  • Biondetti GP; OM1, Inc., Boston, MA, USA.
  • Batalini F; Women's Cancer Program, Mayo Clinic Cancer Center, Phoenix, AZ, USA.
  • Celi LA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
  • Curigliano G; Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy; Department of Oncology and Haematology (DIPO), University of Milan, Milan, Italy.
Cancer Treat Rev ; 108: 102410, 2022 Jul.
Article en En | MEDLINE | ID: mdl-35609495
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Texto completo: 1 Colección: 01-internacional Asunto principal: Neoplasias de la Mama / Inteligencia Artificial Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Female / Humans Idioma: En Revista: Cancer Treat Rev Año: 2022 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Asunto principal: Neoplasias de la Mama / Inteligencia Artificial Tipo de estudio: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Female / Humans Idioma: En Revista: Cancer Treat Rev Año: 2022 Tipo del documento: Article