Kitamura Felipe Campos, do Nascimento Felipe Barjud Pereira, Elizondo-Riojas Guillermo, Chaves Hernán, Henríquez Leighton Héctor, Salinas-Miranda Emmanuel, Júlio Thiago, da Rocha Antônio José, Nomura César Higa
Department 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.).
Radiol Artif Intell. 2022 Aug 31;4(5):e220125. doi: 10.1148/ryai.220125. eCollection 2022 Sep.
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. Informatics, Use of AI in Education, Impact of AI on Education, Social Implications © RSNA, 2022.
第一届拉丁美洲健康领域人工智能会议(The 1° Encontro Latino-Americano de IA em Saúde)于2022年圣保罗州年度放射学会议——圣保罗放射学日(Jornada Paulista de Radiologia)期间举行。该活动旨在促进拉丁美洲国家之间就这些国家在开发和使用人工智能(AI)方面的复杂性、挑战和机遇展开讨论。人工智能的技术进步在医疗保健领域引发了很高的期望。人工智能在临床放射学中日益被视为一种变革性力量。为了消除人们对人工智能会“取代”放射学的担忧,会议安排了对放射科医生进行培训的活动。拉丁美洲的人工智能发展尚处于早期阶段,尽管有一些先驱案例,但许多地区仍缺乏世界级的技术基础设施和资源。在数据隐私与保护、数字健康和人工智能方面的立法、监管及公共政策是许多国家最近取得的进展。会议议程涵盖范围广泛,邀请了来自不同国家、背景和专业领域的专家,目的是涵盖所有复杂程度(从基本概念到先进技术)、观点(临床、技术、伦理和商业)以及专业领域(包括信息学和数据科学专家以及常规放射学临床团队)。这是一个与其他国家同行建立联系并分享在不同国家和背景下医疗保健领域人工智能经验教训的机会。 信息学、人工智能在教育中的应用、人工智能对教育的影响、社会影响 © RSNA,2022年