Evidence map›Paper›PMID 41009306›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

Artificial Intelligence Perceptions and Technostress in Staff Radiologists: The Mediating Role of Artificial Intelligence Acceptance and the Moderating Role of Self-Efficacy.

Giovanni Di Stefano, Sergio Salerno, Domenica Matranga, Manuela Lodico, Dario Monzani, Valeria Seidita, Roberto Cannella, Laura Maniscalco, Silvana Miceli

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Giovanni Di StefanoDepartment of Psychology, Educational Science and Human Movement, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0001-7276-549X
Sergio SalernoDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0003-1020-3437
Domenica MatrangaDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0002-2466-937X
Manuela LodicoDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90133 Palermo, Italy.ORCID 0009-0000-4226-0714
Dario MonzaniDepartment of Psychology, Educational Science and Human Movement, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0001-9544-2933
Valeria SeiditaDepartment of Engineering, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0002-0601-6914
Roberto CannellaDepartment of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0002-3808-0785
Laura ManiscalcoDepartment of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0001-7974-3963
Silvana MiceliDepartment of Psychology, Educational Science and Human Movement, University of Palermo, 90133 Palermo, Italy.ORCID 0000-0003-3183-1897

Funding

University of Palermo Grant "Incentives for interdisciplinary research activities - Measure B"
6 · The paper itself

Abstract

This study examined how perceptions of artificial intelligence (AI) relate to technostress in healthcare professionals, testing whether AI acceptance mediates this relationship and whether self-efficacy moderates the formation of acceptance. Seventy-one participants completed measures of Perceptions of AI (Shinners), AI Acceptance (UTAUT), Self-Efficacy, and four technostress outcomes: Technostress Overall, Techno-Overload, Techno-Complexity/Insecurity, and Techno-Uncertainty. Conditional process analyses (PROCESS Model 7; 5000 bootstrap samples) were performed controlling for sex, age (years), and professional role (radiology residents, attending radiologists, PhD researchers). Perceptions of AI were directly and positively associated with Technostress Overall (b = 0.57,

Indexed as

AI acceptanceartificial intelligenceradiologyself-efficacytechnology adoptiontechnostress

Identifiers

PMID41009306
PMCPMC12467842

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.