ArticleInternational journal of medical informatics2023
Increasing acceptance of medical AI: The role of medical staff participation in AI development.
Article in International journal of medical informatics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Patient Concerns Regarding Artificial Intelligence Applications in Health Care: Systematic Review and Meta-Synthesis Based on Social Ecological Theory.Journal of medical Internet research · 2026Pooled it
- Dimensions of artificial intelligence anxiety among employees in the age of innovation: a systematic review.Frontiers in psychology · 2026Pooled it
- Predictors of Health Care Practitioners' Intention to Use AI-Enabled Clinical Decision Support Systems: Meta-Analysis Based on the Unified Theory of Acceptance and Use of Technology.Journal of medical Internet research · 2024Pooled it
- Artificial intelligence predictive analytics in heart failure: results of the pilot phase of a pragmatic randomized clinical trial.Journal of the American Medical Informatics Association : JAMIA · 2024Trial
- Multicenter Usability Evaluation and Co-Development of a Digital Decision-Support Tool for Labor Triage: Mixed Methods Study.JMIR human factors · 2026Article
- The influence of college students' AI literacy on perceived usefulness: a moderated mediation model with AI anxiety and trust across disciplinary backgrounds.Frontiers in psychology · 2026Article
- AI literacy and AI anxiety in nursing students: the serial mediating roles of attitudes and self-efficacy.Frontiers in public health · 2026Article
- Medical students' perceptions of AI-based feedback and feedforward on communication skills in doctor-patient consultation - an acceptance study in a video-based simulation.Medical education online · 2025Article
- Listening to Patients' Voices on the Use of AI in Health Care: Cross-Sectional Study.Journal of medical Internet research · 2025Article
- Enabling Physicians to Make an Informed Adoption Decision on Artificial Intelligence Applications in Medical Imaging Diagnostics: Qualitative Study.Journal of medical Internet research · 2025Article
- When One Size Does not Fit All-Artificial Intelligence in Australian Rural Health.The Australian journal of rural health · 2025Article
- Health Care Professionals' Concerns About Medical AI and Psychological Barriers and Strategies for Successful Implementation: Scoping Review.Journal of medical Internet research · 2025Article
- R-AI-diographers: a European survey on perceived impact of AI on professional identity, careers, and radiographers' roles.Insights into imaging · 2025Article
- When Healthcare Professionals Use AI: Exploring Work Well-Being Through Psychological Needs Satisfaction and Job Complexity.Behavioral sciences (Basel, Switzerland) · 2025Article
- How do medical professionals make sense (or not) of AI? A social-media-based computational grounded theory study and an online survey.Computational and structural biotechnology journal · 2024Article
- Profiling public perception of emerging technologies: Gene editing, brain chips and exoskeletons. A data-analytics framework.Heliyon · 2024Article
- The Promise of AI for Image-Driven Medicine: Qualitative Interview Study of Radiologists' and Pathologists' Perspectives.JMIR human factors · 2024Article
- Achieving large-scale clinician adoption of AI-enabled decision support.BMJ health & care informatics · 2024Article
- The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems.Frontiers in medicine · 2024Review
- The Impact of Medical Explainable Artificial Intelligence on Nurses' Innovation Behaviour: A Structural Equation Modelling Approach.Journal of nursing management · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMedical artificial intelligence (AI) in varying degrees has exerted significant influence on many medical fields, especially in the midst of the COVID-19 pandemic. However, little is known regarding how to address the reluctance of medical staff to use AI technology. While recent research has highlighted the importance of medical staff participation in the development of AI, the current understanding of influence of medical staff participation on acceptance of AI is limited.
objectivesTo provide insights into the mechanism that how medical staff participation impacts on the medical staff's acceptance of AI and to examine the moderating effect of speciesism.
methodsThis study was conducted from 6th August to 3rd September. Data was collected from doctors and nurses and a total of 288 valid questionnaires were obtained. Smart PLS 3.2.8 was used as partial least square (PLS) software to validate the research model.
resultsThe study determined that medical staff participation had a significant impact on acceptance of medical AI-IDT (β = 0.35, p ≤ 0.001) and acceptance of medical AI-ADT (β = 0.44, p ≤ 0.001). The results also show that AI self-efficacy and AI anxiety have significant mediating effects and speciesism has significant moderating effects among the theoretical model.
conclusionsThis study provides insights into ways to explore influence factors of acceptance of AI based on user participation perspective. The results indicate that medical staff participation enhances acceptance of medical AI through the cognitive path (i.e., AI self-efficacy) and the affective path (i.e., AI anxiety). These results have practical implications for how organizations assist the staff to accommodate themselves to AI technology in the future.
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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.