Forging Connections in Latin America to Advance AI in Radiology

Felipe Campos Kitamura1, Felipe Barjud Pereira do Nascimento1, Guillermo Elizondo-Riojas1

  • 1Department of Applied Innovation and AI, Diagnósticos da América SA-Dasa (DasaInova), São Paulo, Brazil (F.C.K.); Department of Diagnostic Imaging, Universidade Federal de São Paulo, Rua Napoleão de Barros 800, Vila Clementino, São Paulo, SP 04024-002, Brazil (F.C.K.); Department of Radiology and Imaging Diagnosis, Hospital Israelita Albert Einstein, São Paulo, Brazil (F.B.P.d.N.); Department of Radiology, University Hospital, Universidad Autónoma de Nuevo León, San Nicolás de los Garza, Mexico (G.E.R.); Department of Neuroradiology, FLENI, Buenos Aires, Argentina (H.C.); Department of Radiology, Universidad de los Andes, Santiago, Chile (H.H.L.); Lunenfeld Tanenbaum Research Institute, Joint Department of Medical Imaging, University of Toronto, Toronto, Canada (E.S.M.); Artificial Intelligence Committee, Colombian Association of Radiology, Medellín, Colombia (E.S.M.); Department of Informatics (T.J.), Department of Medical Sciences (A.J.d.R.), and Board of Directors (C.H.N.), Sociedade Paulista de Radiologia, São Paulo, Brazil; Department of Neuroradiology, Dasa, São Paulo, Brazil (A.J.d.R.); Department of Neuroradiology, Santa Casa de Misericórdia de São Paulo, São Paulo, Brazil (A.J.d.R.); and Superintendent of Diagnostic Medicine at Hospital Sírio-Libanês, São Paulo, Brazil (C.H.N.).

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