Evidence map›Paper›PMID 40144114›Full record

ArticleMedical science educator2025

An Introductory Module of Generative Artificial Intelligence in Medical Education.

Jorge Cervantes

Abstract read
In one paragraph

Article in Medical science educator, 2025. 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

1 author.

Jorge CervantesDepartment of Medical Education, Dr. Kiran C. Patel College of Allopathic Medicine, and Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Fort Lauderdale, FL 33328 USA.ORCID 0000-0002-4359-5951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lack of training in generative AI (GenAI) among most medical educators poses an important challenge. Recognizing this need, an introductory session was created. A pre- and post-survey was distributed to gain insights on the impact of the module and identify concerns about GenAI in medical education. Scores for each statement were higher upon completion of the module session. Feedback showed that the module was well-received and reflected an openness to discuss the benefits and challenges of GenAI. We need to help educators and learners how to use GenAI tools judiciously and understand their benefits and limitations. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-024-02218-2.

Indexed as

Generative artificial intelligenceGPTMedical education

Identifiers

PMID40144114
PMCPMC11933578

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.