Artificial intelligence education: An evidence-based medicine approach for consumers, translators, and developers.
Cell Rep Med
; 4(10): 101230, 2023 10 17.
Article
em En
| MEDLINE
| ID: mdl-37852174
ABSTRACT
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", or "developers". The changes required of medical education because of AI innovation are linked to those brought about by evidence-based medicine (EBM). We outline a core curriculum for AI education of future consumers, translators, and developers, emphasizing the links between AI and EBM, with suggestions for how teaching may be integrated into existing curricula. We consider the key barriers to implementation of AI in the medical curriculum time, resources, variable interest, and knowledge retention. By improving AI literacy rates and fostering a translator- and developer-enriched workforce, innovation may be accelerated for the benefit of patients and practitioners.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Inteligência Artificial
/
Educação Médica
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article
País de afiliação:
Singapura