ArticleEuropean archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery2025
Does your generation influence your perception of the application of Artificial Intelligence in medicine?
Article in European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo understand if age interferes with the perception of the application of AI in Healthcare.
methodsA cross-sectional study was carried out using an anonymous, self-completed online questionnaire answered by 770 participants. Patients were divided into five generations according to age: Generation Z (18–25 years), Generation Y or Millennials (26–41 years), Generation X (42–57 years), Baby Boomers (58–67 years) and Silent Generation (> 67 years).
resultsIndividuals over 67 years of age (Silent Generation) and individuals under 26 years of age (Generation Z) presented lowest preference towards AI as a healthcare provider. This was statistically significant considering: 1 - assessment of health monitoring (p = 0.02), 2 - chronic disease monitoring (p = 0.02) and 3 - performing low/no-life-threatening surgery (p = 0.003). The age group with the hightest preference towards AI as a healthcare provider were individuals aged between 26 and 41 years (Millennials).
conclusionOur findings suggest that there are significant differences in the perception of Artificial Intelligence application depending on the age group.
Indexed as
Identifiers
40775388What OpenQuestion holds
Registered trials
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.