Evidence map›Paper›PMID 40434153›Full record

ArticleInternal medicine journal2025

Impact of generative artificial intelligence on the professional qualities curriculum and reflection essays during physician training.

Louis William Wang

Abstract read
In one paragraph

Article in Internal medicine journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Louis William WangDepartment of Vascular Medicine, St Vincent's Hospital, Sydney, New South Wales, Australia.ORCID 0000-0001-6907-150X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The professional development curriculum is a vital component in physician training and is important for helping trainees develop as competent and reflective practitioners. The advent of generative artificial intelligence (AI) will likely have a significant impact on the assessment of the professional qualities curriculum in physician training. The development of professional qualities as well as self-reflection is currently assessed through personal reflection essays. These reflection essays are particularly vulnerable to new developments in generative AI, which are capable of producing high-quality outputs that can pass as trainee-created responses. Generative AI-produced reflection essays are becoming increasingly difficult to detect using AI-detection software. The challenge remains how best to incorporate AI into learning while safeguarding the attainment and assessment of learning goals within the multiple domains of professional development. This article discusses several options for safeguarding the professional qualities curriculum in medical education and vocational training. Discussion-based activities may very well prove to be a suitable potential replacement for the current professional reflection essay.

Indexed as

Artificial IntelligenceCurriculumEducation, MedicalPhysiciansClinical CompetenceGenerative Artificial IntelligenceHumansgenerative artificial intelligencehigher educationmedical educationprofessional qualities curriculumreflection essay

Identifiers

PMID40434153
PMCPMC12240007

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.