Considerazioni sul bias nella pedagogia medica basata su AI

Chiara Rabbito; Carlo Maria Petrini; Antonio Vittorino Gaddi; Pierangelo Veltri; Mario Ettore Giardini

doi:10.13135/1971-8551/11030

Considerazioni sul bias nella pedagogia medica basata su AI

Translated title of the contribution: Reflections on Bias in AI-Based Medical Education

Chiara Rabbito
, Carlo Maria Petrini
, Antonio Vittorino Gaddi
, Pierangelo Veltri
, Mario Ettore Giardini (Lead / Corresponding author)

Research output: Contribution to journal › Letter

20 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 contribution	Reflections on Bias in AI-Based Medical Education
Original language	Italian
Pages (from-to)	78-79
Number of pages	2
Journal	Tutor
Volume	24
Issue number	1
DOIs	https://doi.org/10.13135/1971-8551/11030
Publication status	Published - 16 May 2025

UN SDGs

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

SDG 4 Quality Education

ASJC Scopus subject areas

Education

Access to Document

10.13135/1971-8551/11030Licence: CC BY

Final published versionFinal published version, 798 KBLicence: CC BY

https://ojs.unito.it/index.php/tutor/article/view/11030Licence: CC BY

1 Literature review

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.Giardini, M. E., Petrini, C. M. & Gaddi, A. V., May 2025, In: Tutor. 24, 1, p. 5-24 20 p.
Research output: Contribution to journal › Literature review › peer-review

Open Access
File
30 Downloads (Pure)

1 Membership of committee

Società Italiana di Telemedicina (External organisation)
Giardini, M. E. (Chair)
29 Oct 2023 → …
Activity: Membership types › Membership of committee

Cite this

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title = "Considerazioni sul bias nella pedagogia medica basata su AI",

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.",

author = "Chiara Rabbito and Petrini, \{Carlo Maria\} and Gaddi, \{Antonio Vittorino\} and Pierangelo Veltri and Giardini, \{Mario Ettore\}",

year = "2025",

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doi = "10.13135/1971-8551/11030",

language = "Italian",

volume = "24",

pages = "78--79",

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TY - JOUR

T1 - Considerazioni sul bias nella pedagogia medica basata su AI

AU - Rabbito, Chiara

AU - Petrini, Carlo Maria

AU - Gaddi, Antonio Vittorino

AU - Veltri, Pierangelo

AU - Giardini, Mario Ettore

PY - 2025/5/16

Y1 - 2025/5/16

N2 - 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.

AB - 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.

U2 - 10.13135/1971-8551/11030

DO - 10.13135/1971-8551/11030

M3 - Letter

SN - 1971-8551

VL - 24

SP - 78

EP - 79

JO - Tutor

JF - Tutor

IS - 1

ER -

Considerazioni sul bias nella pedagogia medica basata su AI

Abstract

UN SDGs

ASJC Scopus subject areas

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Research output

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

Activities

Società Italiana di Telemedicina (External organisation)

Cite this