ArticleRadiology. Artificial intelligence2022
Forging Connections in Latin America to Advance AI in Radiology.
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Article in Radiology. Artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- AI literacy among healthcare professionals and students in the Americas.Lancet regional health. Americas · 2026Review
- A perspective on AI implementation in medical imaging in LMICs: challenges, priorities, and strategies.European radiology · 2026Article
- Cross-interface persistent memory for large language model-assisted radiology research workflows: a Claude-based proof-of-concept technical development.Frontiers in radiology · 2026Article
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9 authors.
Felipe Campos KitamuraDepartment 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.).ORCID https://orcid.org/0000-0002-9992-5630
Felipe Barjud Pereira do NascimentoDepartment 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.).ORCID 0000-0003-4319-3386
Guillermo Elizondo-RiojasDepartment 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.).ORCID 0000-0002-9555-430X
Hernán ChavesDepartment 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.).ORCID 0000-0001-8649-6374
Héctor Henríquez LeightonDepartment 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.).ORCID 0000-0003-1944-5336
Emmanuel Salinas-MirandaDepartment 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.).ORCID 0000-0003-4145-9275
Thiago JúlioDepartment 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.).ORCID 0000-0001-7745-4041
Antônio José da RochaDepartment 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.).ORCID 0000-0003-2591-9171
César Higa NomuraDepartment 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.).
Funding
No grant is acknowledged in the PubMed record.
Abstract
The 1° Encontro Latino-Americano de IA em Saúde (1st Latin American Meeting on AI in Health) was held during the 2022 Jornada Paulista de Radiologia, the annual radiology meeting in the state of São Paulo. The event was created to foster discussion among Latin American countries about the complexity, challenges, and opportunities in developing and using artificial intelligence (AI) in those countries. Technological improvements in AI have created high expectations in health care. AI is recognized increasingly as a game changer in clinical radiology. To counter the fear that AI would "take over" radiology, the program included activities to educate radiologists. The development of AI in Latin America is in its early days, and although there are some pioneer cases, many regions still lack world-class technological infrastructure and resources. Legislation, regulation, and public policies in data privacy and protection, digital health, and AI are recent advances in many countries. The meeting program was developed with a broad scope, with expertise from different countries, backgrounds, and specialties, with the objective of encompassing all levels of complexity (from basic concepts to advanced techniques), perspectives (clinical, technical, ethical, and business), and specialties (both informatics and data science experts and the usual radiology clinical groups). It was an opportunity to connect with peers from other countries and share lessons learned about AI in health care in different countries and contexts.
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Impact of AI on EducationInformaticsSocial ImplicationsUse of AI in Education
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