ArticleJournal of medical education and curricular development
Evaluating the Use of Artificial Intelligence as a Study Tool for Preclinical Medical School Exams.
Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The impact of generative artificial intelligence on clinical skills and knowledge acquisition in medical undergraduates: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Strengths and Potential Pitfalls of the Use of Artificial Intelligence in Psychiatric Education and Practice.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2026Article
- Artificial Intelligence for Assessment and Feedback in Medical Education: Bibliometric Mapping Study and Thematic Evidence Map.JMIR medical education · 2026Article
- Applying Van den Akker's Spider Web Model to curriculum design in medical education: a practical guide.Frontiers in medicine · 2026Article
- A research roadmap for AI opportunities in student assessment for medical education.BMC medical education · 2025Review
- How AI Is Transforming Medical Education: Bibliometric Analysis.JMIR medical education · 2025Article
- Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy?Journal of medical Internet research · 2025Article
- Article
- From Novelty to Necessity: Artificial Intelligence in Medical Education.Journal of medical education and curricular developmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of this 2024 study was to determine if there is an association between the usage of artificial intelligence (AI) to study and exam scores of medical students in the preclinical phase of their schooling.
methodsWe created and distributed a survey via an unbiased third-party to students in the class of 2027 at the Kirk Kerkorian School of Medicine at UNLV to evaluate students AI use to study for their preclinical system-based exams. Students were categorized into two groups, those that use AI to study and those who do not. Two-sample t-tests were run to compare the mean exam scores of both groups on six different organ system exams as well as the cumulative final exam score for each group. The group that did use AI was further asked about which AI tools they use and how exactly they use these tools to study for preclinical examinations.
resultsThe results of the study showed that there is no statistically significant difference in exam scores between students who use AI for study purposes and students who do not. It was also found that most AI users studied with ChatGPT. The most common way users studied was by using AI to simplify and clarify topics they did not understand.
conclusionsBased on the results of this study, we concluded that usage of AI programs for students for medical examinations did not yield a positive or negative effect on students' organ system-based exam scores.
Indexed as
Identifiers
What OpenQuestion holds
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 OpenQuestion graph.