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Contenuti per un corso di formazione all’intelligenza artificiale per personale medico-sanitario: una revisione esplorativa della letteratura dall’avvento di ChatGPT

Translated title of the contribution: Content for an artificial intelligence training course for healthcare professionals: an exploratory literature review since the advent of ChatGPT.

Research output: Contribution to journalLiterature reviewpeer-review

17 Downloads (Pure)

Abstract

INTRODUCTION: The advent of Large Language Models in 2022 is requiring a reconsideration of the contents to be included in Artificial Intelligence (AI) training for healthcare personnel.
OBJECTIVES: A review of the literature published since the launch of ChatGPT has been performed, to identify which contents are suggested for inclusion in AI training for healthcare personnel.
METHODS: the review has been conducted according to the PRISMA-ScR extension to the PRISMA statement. Only items containing primary data have been included, thus excluding literature reviews.
RESULTS: 10101 items have been identified, of which 21 have been selected for review. These include original articles, letters, commentaries, opinion papers, editorials, interviews.
DISCUSSION: The items extracted from the literature address almost exclusively medical training. The analysis failed to identify methodologically robust studies on the contents to be included in AI training for healthcare personnel. There is however consensus on the fact that content on the broader technical, application, ethics, and regulatory aspects should take priority over direct operativity on informatics tools.
Translated title of the contributionContent for an artificial intelligence training course for healthcare professionals: an exploratory literature review since the advent of ChatGPT.
Original languageItalian
Pages (from-to)5-24
Number of pages20
JournalTutor
Volume24
Issue number1
DOIs
Publication statusPublished - May 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • artificial intelligence
  • AI
  • education
  • content
  • healthcare personnel

ASJC Scopus subject areas

  • Health Professions(all)
  • Education

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  • Considerazioni sul bias nella pedagogia medica basata su AI

    Translated title of the contribution: Reflections on Bias in AI-Based Medical EducationRabbito, C., Petrini, C. M., Gaddi, A. V., Veltri, P. & Giardini, M. E. (Lead / Corresponding author), 16 May 2025, In: Tutor. 24, 1, p. 78-79 2 p.

    Research output: Contribution to journalLetter

    Open Access
    File
    10 Downloads (Pure)

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