Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers

Current and future healthcare professionals are generally not trained to cope with the proliferation of artificial intelligence (AI) technology in healthcare. To design a curriculum that caters to variable baseline knowledge and skills, clinicians may be conceptualized as “consumers”, “translators”,...

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Detalles Bibliográficos
Autores principales: Ng, Faye Yu Ci, Thirunavukarasu, Arun James, Cheng, Haoran, Tan, Ting Fang, Gutierrez, Laura, Lan, Yanyan, Ong, Jasmine Chiat Ling, Chong, Yap Seng, Ngiam, Kee Yuan, Ho, Dean, Wong, Tien Yin, Kwek, Kenneth, Doshi-Velez, Finale, Lucey, Catherine, Coffman, Thomas, Ting, Daniel Shu Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591047/
https://www.ncbi.nlm.nih.gov/pubmed/37852174
http://dx.doi.org/10.1016/j.xcrm.2023.101230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591047/
https://www.ncbi.nlm.nih.gov/pubmed/37852174
http://dx.doi.org/10.1016/j.xcrm.2023.101230

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