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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.).

Radiology. Artificial Intelligence

|October 7, 2022

Summary

The 1st Latin American Meeting on AI in Health convened to discuss artificial intelligence (AI) in healthcare. Experts shared insights on AI

Keywords:

Impact of AI on Education Informatics Social Implications Use of AI in Education

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Area of Science:

Medical Informatics
Artificial Intelligence in Healthcare
Radiology

Background:

The 1st Latin American Meeting on AI in Health occurred during the 2022 Jornada Paulista de Radiologia.
Technological advancements in AI have raised expectations for healthcare applications, particularly in clinical radiology.
AI development in Latin America is nascent, with infrastructure and resource limitations in many regions.

Purpose of the Study:

To foster dialogue on the complexities, challenges, and opportunities of AI development and application in Latin American healthcare.
To educate radiologists about AI, addressing concerns about its role in the field.
To connect international peers and share experiences with AI in diverse healthcare contexts.

Main Methods:

A multidisciplinary program with global experts from various backgrounds and specialties.
Content covered basic concepts to advanced techniques, addressing clinical, technical, ethical, and business perspectives.
Inclusion of informatics, data science, and clinical radiology groups.

Main Results:

Facilitated discussion on AI in Latin American healthcare.
Provided educational content to demystify AI for radiologists.
Enabled knowledge exchange on AI implementation challenges and successes across different countries.

Conclusions:

The meeting highlighted the early stage of AI development in Latin America and the need for robust infrastructure and policy.
Cross-disciplinary collaboration is crucial for advancing AI in healthcare.
Sharing lessons learned is vital for navigating the future of AI in the region.