Evidence map›Paper›PMID 41939078›Full record

ArticleMedical science educator2026

Generative Artificial Intelligence in Medical Training: Utilization Patterns Across Knowledge, Patient Care, Systems Reasoning, and Innovation.

Grace L Park, Gary L Beck Dallaghan, Joe Bradley, Qasim Sikander, Hannah Jung, Kevin Zhang, Gregory Polites, Janet Jokela

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical science educator, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Grace L ParkDepartment of Biomedical and Translational Science, Carle Illinois College of Medicine/University of Illinois, Urbana, IL 61801 USA.ORCID 0000-0003-1545-3304
Gary L Beck DallaghanDepartment of Biomedical and Translational Science, Carle Illinois College of Medicine/University of Illinois, Urbana, IL 61801 USA.
Joe BradleyDepartment of Biomedical and Translational Science, Carle Illinois College of Medicine/University of Illinois, Urbana, IL 61801 USA.
Qasim SikanderCarle Illinois College of Medicine/University of Illinois, Urbana, IL USA.
Hannah JungCarle Illinois College of Medicine/University of Illinois, Urbana, IL USA.
Kevin ZhangCarle Illinois College of Medicine/University of Illinois, Urbana, IL USA.
Gregory PolitesDepartment of Clinical Sciences, Carle Illinois College of Medicine/University of Illinois, Urbana, IL USA.
Janet JokelaDepartment of Clinical Sciences, Carle Illinois College of Medicine/University of Illinois, Urbana, IL USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2022, generative artificial intelligence (AI) use has grown rapidly across many sectors, including medical education. While prior research has explored perceptions of AI, the understanding of AI use amongst medical trainees has been limited. This study surveyed medical trainees to better identify the patterns of generative AI use. Results showed varying patterns based on the phase of training, with ChatGPT emerging as the predominantly used platform across all phases. While awareness of AI policies was limited, the majority reported efforts for responsible use of AI. Implications include understanding of equitable access and onboarding regarding AI use policies.

Indexed as

Artificial intelligenceCompetenciesGenerative AIInnovationMedical education

Identifiers

PMID41939078
PMCPMC13043961

What OpenQuestion holds

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Registered trials

None linked

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.