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Digital Education for the Deployment of Artificial Intelligence in Health Care.
Malerbi, Fernando Korn; Nakayama, Luis Filipe; Gayle Dychiao, Robyn; Zago Ribeiro, Lucas; Villanueva, Cleva; Celi, Leo Anthony; Regatieri, Caio Vinicius.
Afiliação
  • Malerbi FK; Ophthalmology Department, Sao Paulo Federal University, Sao Paulo, Brazil.
  • Nakayama LF; Ophthalmology Department, Sao Paulo Federal University, Sao Paulo, Brazil.
  • Gayle Dychiao R; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States.
  • Zago Ribeiro L; University of the Philippines College of Medicine, Manila, Philippines.
  • Villanueva C; Ophthalmology Department, Sao Paulo Federal University, Sao Paulo, Brazil.
  • Celi LA; Escuela Superior de Medicina, Instituto Politecnico Nacional, Mexico City, Mexico.
  • Regatieri CV; Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States.
J Med Internet Res ; 25: e43333, 2023 06 22.
Article em En | MEDLINE | ID: mdl-37347537
Artificial Intelligence (AI) represents a significant milestone in health care's digital transformation. However, traditional health care education and training often lack digital competencies. To promote safe and effective AI implementation, health care professionals must acquire basic knowledge of machine learning and neural networks, critical evaluation of data sets, integration within clinical workflows, bias control, and human-machine interaction in clinical settings. Additionally, they should understand the legal and ethical aspects of digital health care and the impact of AI adoption. Misconceptions and fears about AI systems could jeopardize its real-life implementation. However, there are multiple barriers to promoting electronic health literacy, including time constraints, overburdened curricula, and the shortage of capacitated professionals. To overcome these challenges, partnerships among developers, professional societies, and academia are essential. Integrating specialists from different backgrounds, including data specialists, lawyers, and social scientists, can significantly contribute to combating digital illiteracy and promoting safe AI implementation in health care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Currículo Aspecto: Ethics Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Canadá

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Currículo Aspecto: Ethics Limite: Humans Idioma: En Revista: J Med Internet Res Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Canadá