ArticleDigital health
Exploring healthcare professionals' perceptions of artificial intelligence: Piloting the Shinners Artificial Intelligence Perception tool.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Between Awareness and Readiness: Perceptions of Artificial Intelligence Among Indonesian Mental Health Professionals.Behavioral sciences (Basel, Switzerland) · 2026Article
- Patients' Perspectives on Artificial Intelligence and Digital Transformation in Dental Practice: A Cross-Sectional Study from Romania.Dentistry journal · 2026Article
- Digital Health Competence and Attitudes Toward AI Among Health Care Professionals: Convergent Mixed Methods Study.Journal of medical Internet research · 2026Article
- Cross-cultural adaptation and psychometric evaluation of the Shinners Artificial Intelligence Perception Scale (SAIP): evidence from Turkish nursing students.BMC nursing · 2026Article
- Barriers, Facilitators, and Intention to Use AI for Breast Cancer Diagnosis: Mixed Methods Study Among Austrian Physicians With and Without AI Experience.Journal of medical Internet research · 2026Article
- Knowledge, Attitude, Benefits, Risks, Barriers, Professional Impact, and Preparedness of Nursing Students Toward the Utilization of Artificial Intelligence in Healthcare.Nursing reports (Pavia, Italy) · 2026Article
- Moving beyond one-size-fits-all education approaches for artificial intelligence in healthcare.PLOS digital health · 2026Article
- Article
- Digital Skills and Readiness of Greek Nurses for Artificial Intelligence Adoption in Clinical Nursing Practice.Nursing reports (Pavia, Italy) · 2026Article
- Hearing health professionals' attitudes and perceived skills toward artificial intelligence.BMC medical education · 2026Article
- The relationship between nurses' anxiety and attitudes towards artificial intelligence and examination of influencing factors.BMC nursing · 2026Article
- Using Chat Generative Pre-Trained Transformer for teaching and learning: A survey among health professions educators.Journal of the colleges of medicine of South Africa · 2026Article
- Cardiovascular remodeling: key mechanisms and clinical implications linking sarcopenia and heart failure.Frontiers in medicine · 2026Review
- Operationalising Inclusion for Participatory Design: Worked Examples for TRIPOD+AI & PROBAST+AI.Health services insights · 2026Article
- The Mediating Role of AI Ethics Awareness Between AI Attitudes and AI Utilization: A Multisite Cross-Sectional Study of Saudi Nursing Students.Journal of nursing management · 2026Article
- A quality improvement project of patient perception of AI-generated discharge summaries: a comparison with doctor-written summaries.Annals of the Royal College of Surgeons of England · 2025Article
- Artificial Intelligence Perceptions and Technostress in Staff Radiologists: The Mediating Role of Artificial Intelligence Acceptance and the Moderating Role of Self-Efficacy.Behavioral sciences (Basel, Switzerland) · 2025Article
- Embracing Artificial Intelligence in Dental Practice: An Exploratory Study of Romanian Clinicians' Perspectives and Experiences.Dentistry journal · 2025Article
- Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan's resource-limited settings.BMC health services research · 2025Article
- The acceptance of ophthalmic artificial intelligence for eye diseases: a literature review and qualitative analysis.Eye (London, England) · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThere is an urgent need to prepare the healthcare workforce for the implementation of artificial intelligence (AI) into the healthcare setting. Insights into workforce perception of AI could identify potential challenges that an organisation may face when implementing this new technology. The aim of this study was to psychometrically evaluate and pilot the Shinners Artificial Intelligence Perception (SHAIP) questionnaire that is designed to explore healthcare professionals' perceptions of AI. Instrument validation was achieved through a cross-sectional study of healthcare professionals ( METHODS AND
resultsExploratory factor analysis was conducted and analysis yielded a two-factor solution consisting of 10 items and explained 51.7% of the total variance. Factor one represented perceptions of '
conclusionsThe results of this study provide preliminary support for the SHAIP tool and a two-factor solution that measures healthcare professionals' perceptions of AI. Further testing is needed to establish the reliability or re-modelling of Factor 2 and the overall performance of the SHAIP tool as a global instrument.
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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.