Evidence mapPaperPMID 41519741Full record

ArticleBMC medical education2026

Hearing health professionals' attitudes and perceived skills toward artificial intelligence.

Joanie Ferland, Matthieu J Guitton, Andreanne Sharp

Abstract read
In one paragraph

Article in BMC medical education, 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

3 authors.

Joanie FerlandFaculty of Medicine, Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0009-0001-7853-3953
Matthieu J GuittonFaculty of Medicine, Université Laval, Quebec City, QC, Canada.ORCID http://orcid.org/0000-0003-3071-2773
Andreanne SharpFaculty of Medicine, Université Laval, Quebec City, QC, Canada. andreanne.sharp@fmed.ulaval.ca.ORCID http://orcid.org/0000-0001-8483-6961

Funding

Centre for Research on Brain, Language and Music 340954Centre for Research on Brain, Language and Music IE143262Fonds de recherche du Québec CB-365846
6 · The paper itself

Abstract

backgroundAs artificial intelligence becomes increasingly integrated into healthcare, understanding health professionals’ perceptions and comfort with these technologies is gaining importance. This study investigated hearing health professionals’ eHealth literacy, perceptions of artificial intelligence (AI), and AI self-efficacy, examining how these constructs vary across professions and relate to use of AI. It also explored their interrelationships and documented training needs and preferred providers of that training to support the integration of AI into clinical practice.

methodsAn online survey was conducted among hearing health professionals (audiologists and hearing-aid acousticians) in the province of Quebec, Canada. It included validated instruments to assess eHealth literacy (eHEALS), perceptions of AI (SHAIP), and AI self-efficacy (AISES and an adapted RUSH scale). Participants also reported their use of AI (personal and professional), sociodemographic and professional characteristics, and their AI training needs, including preferred types of organizations to deliver that training.

resultsData from 114 professionals (mean age 38.1 ± 1 years; 75.5% women) showed that eHealth literacy scores were similar across professions and between AI users and non-users. Perceptions of AI were more positive among hearing-aid acousticians and among participants using AI, regardless of their profession. While AI self-efficacy did not differ by profession, scores were higher among AI users. All participants recognized the need for AI training, with, surprisingly, professional orders and the corporate sector more often identified as preferred providers than post-secondary institutions.

conclusionsThis study revealed that hearing health professionals who had already adopted AI into their practice showed more positive perceptions of AI and better AI self-efficacy. AI training, and those providing it, should consider professionals’ current attitudes and perceived skills towards AI to facilitate its integration into clinical practice.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelAudiologistsAdultDigital HealthFemaleHearing AidsHumansMaleMiddle AgedQuebecSelf EfficacySurveys and QuestionnairesAIArtificial intelligenceAudiologistHearing-aid acousticiansSelf-efficacyTraining needs

Identifiers

PMID41519741
PMCPMC12882145

What Socratic holds

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LicenceCC BY
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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 Socratic graph.