Evidence map›Paper›PMID 41079512›Full record

ArticleCureus2025

Emotional Intelligence Training Correlates With Medical Students' Apprehension of AI in Healthcare: A Single-Institution, Observational Study.

Austin P Runde, Shambhavi Mishra, Marina Feffer, Ramzan Shahid

Abstract read
In one paragraph

Article in Cureus, 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

4 authors.

Austin P RundeMedicine, Loyola University Chicago Stritch School of Medicine, Maywood, USA.
Shambhavi MishraMedicine, Loyola University Chicago Stritch School of Medicine, Maywood, USA.
Marina FefferBiostatistics Collaborative Core, Clinical Research Office, Loyola University Chicago Stritch School of Medicine, Maywood, USA.
Ramzan ShahidPediatrics, Loyola University Medical Center, Maywood, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of artificial intelligence (AI) in healthcare is becoming increasingly widespread. While AI has been touted to improve many aspects of the field, its potential to undermine the doctor-patient relationship has also been recognized. It is not known what future physicians believe regarding the potential effects of AI on physicians' professional relationships. It is also unknown whether formal training in emotional intelligence (EI) and resilience strategies influences medical students' opinions on the use of AI in healthcare.

objectiveTo ascertain medical students' opinion on the potential impact of AI on various EI-related aspects of healthcare, such as its use in guiding doctor-patient interactions, and to determine whether formal training in emotional intelligence and resilience (EIR) is associated with their opinion on these topics.

methodsApproximately 700 medical students were asked to voluntarily and anonymously complete a 12-item survey. All survey items were required to be answered for students' responses to be accepted and analyzed. Agreement with survey items was measured via a Likert-type scale, with 1 = strongly disagree and 5 = strongly agree. Results were summarized as means and standard deviations, stratified by whether students did (EIR

resultsA total of 50 EIR

conclusionsThe preliminary data from our single-institution, observational study suggest EIR-trained medical students may be more cautious of AI usage in healthcare due to the potential negative impact AI can have on the doctor-patient relationship. However, larger studies using validated surveys are required to confirm this conclusion.

Indexed as

artificial intelligence (ai)doctor-patient relationshipemotional intelligence (ei)healthcare technologylikert-type scalemedical educationsurvey

Identifiers

PMID41079512
PMCPMC12515060

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.