Artificial Generative Intelligence in Medical Education: Artificial Clinical Reasoning vs Human Clinical Reasoning

Journal title EDUCATION SCIENCES AND SOCIETY
Author/s Rosa Cera
Publishing Year 2025 Issue 2024/2
Language Italian Pages 15 P. 239-253 File size 0 KB
DOI 10.3280/ess2-2024oa18396
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The main purpose of this paper is to illustrate the potential of using generative artificial intelligence (GenAI) in medical education. In particular, the author pursues four specific objectives: to illustrate the potential of GenAI and in particular of LLM (Large Language Model) and GPT-4 (4th generation of GPT series, large multimodal language model) for the development of the curriculum in medical education (integration of knowledge contents, personalization of learning objectives, use of innovative teaching tools such as virtual patients); to document the contribution of GenAI in clinical reasoning and the need to refer to hybrid intelligence, a mix between the two, where both perform clearly delineated and complementary epistemic tasks; to make a clear distinction between epistemic tasks of clinical decision support systems (CDSS) and those specific to humans, in addition to underlying the importance of the embedded context in diagnostic processing; to design a teaching framework for clinical reasoning.

Keywords: ; generative artificial intelligence; medical education; clinical reasoning; epistemic tasks; hybrid intelligence; teaching framework

Rosa Cera, Intelligenza generativa artificiale in medical education: ragionamento clinico artificiale vs ragionamento clinico umano in "EDUCATION SCIENCES AND SOCIETY" 2/2024, pp 239-253, DOI: 10.3280/ess2-2024oa18396