ArticleInquiry : a journal of medical care organization, provision and financing
Medical Students' Readiness for Medical Artificial Intelligence (AI).
Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Artificial intelligence readiness and its association with artificial intelligence literacy among Chinese medical students: a latent profile analysis.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence offers students more personalised and adaptive learning, which encourages educators to better understand students' learning processes. This study aims to determine the readiness levels of medical faculty students in medical artificial intelligence and to examine whether these levels vary based on gender and class year. The study was conducted with 322 medical students. Research data were collected using the "Medical Artificial Intelligence Readiness Scale for Medical Students." Results showed that medical students rated themselves as moderate in the "cognition" and "vision" dimensions, slightly higher in the "ability" and "ethics" dimensions, and overall at a "neutral" level in medical artificial intelligence readiness. Compared to females, males showed significant differences at a "small effect" level in cognition, ability factors and overall scores. Regarding class levels, significant differences were found between 2nd graders and both 5th and 6th graders, favouring the 2nd graders at an "intermediate effect" level. In the cognition dimension, there was also a significant difference between the 2nd and 4th grades in favour of the 2nd grade and at the level of "small effect." In order to increase medical artificial intelligence readiness of students, it is important to comprehensively include the subject in the medical school curriculum and to develop it according to needs. In future research, long-term follow-up studies aimed at improving medical students' education in the field of medical artificial intelligence (AI) are considered to be very beneficial. Furthermore, future studies should also consider potential changes in medical AI readiness that may occur over time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.