Assessing medical students’ readiness for artificial intelligence after pre-clinical training

This study's findings suggest while medical students demonstrate a moderate level of AI-readiness as they enter their clinical years, significant gaps remain, particularly in cognitive areas such as understanding AI terminology, logic, and data science. The majority of students use ChatGPT as their AI tool, with a notable difference in attitudes between tech-savvy and non-tech-savvy individuals. Further efforts are needed to improve students' competency in evaluating AI tools. Medical schools should consider integrating AI into their curricula to enhance students' preparedness for future medical practice. Assessing students' readiness for AI in healthcare is crucial for identifying knowledge and skills gaps and guiding future training efforts.

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Publication Details

Journal
BMC Medical Education
Published
2025-06-02
DOI
https://doi.org/10.1186/s12909-025-07008-x
Citations
5
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
3.27
Controls
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article

Assessing medical students’ readiness for artificial intelligence after pre-clinical training

Adhari AlZaabi, Ken Masters
5 citations
BMC Medical Education
Artificial Intelligence in Healthcare and Education
3.27
article

Assessing medical students’ readiness for artificial intelligence after pre-clinical training

Adhari AlZaabi, Ken Masters
article en
5 citations

Abstract

This study's findings suggest while medical students demonstrate a moderate level of AI-readiness as they enter their clinical years, significant gaps remain, particularly in cognitive areas such as understanding AI terminology, logic, and data science. The majority of students use ChatGPT as their AI tool, with a notable difference in attitudes between tech-savvy and non-tech-savvy individuals. Further efforts are needed to improve students' competency in evaluating AI tools. Medical schools should consider integrating AI into their curricula to enhance students' preparedness for future medical practice. Assessing students' readiness for AI in healthcare is crucial for identifying knowledge and skills gaps and guiding future training efforts.

BMC Medical EducationVol. 25(1)
Sultan Qaboos University (OM)
Openalex Percentile: Top 7%
Artificial Intelligence in Healthcare and Education
3.27
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Assessing medical students’ readiness for artificial intelligence after pre-clinical training — Adhari AlZaabi, Ken Masters · BMC Medical Education (2025) | TGRS Research Map | TGRS