Assessing the Behavioral Intention of Individuals to Use an AI Doctor at the Primary, Secondary, and Tertiary Care Levels

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dc.authorid0000-0002-2572-0085
dc.authorid0000-0001-5344-4359
dc.authorid0000-0002-3535-6141
dc.contributor.authorUymaz, Pelin
dc.contributor.authorUymaz, Ali Osman
dc.contributor.authorAkgul, Yakup
dc.date.accessioned2026-01-24T12:31:26Z
dc.date.available2026-01-24T12:31:26Z
dc.date.issued2024
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThe study examines the behavioral intention to use an AI doctor at the individual level at primary, secondary, and tertiary care levels. The research model has been designed according to the unified theory of acceptance and use of technology to understand the acceptance and use of an AI doctor at the individual level. The causal comparison screening approach, which is used to identify the causes and effects of people's attitudes, behaviors, ideas, and beliefs, has been employed. This study utilized a hybrid analysis methodology combining two-phase analysis using partial least squares structural equation modeling and evolving artificial intelligence named deep learning (Artificial Neural Network) on 432 usable responses. The first step was using structural equation modeling to examine the hypotheses; then the nonlinear interactions between the variables have been examined using an artificial neural network. According to the analysis results, perceived task-technology fit, perceived privacy, performance expectancy, and social influence constructs affecting the intention to use an AI doctor in primary, secondary, and tertiary levels of care are the main constructs. A strong behavioral intention exists at all levels of healthcare, primary, secondary, and tertiary, to use an AI doctor for individual-level healthcare.
dc.identifier.doi10.1080/10447318.2023.2233126
dc.identifier.endpage5246
dc.identifier.issn1044-7318
dc.identifier.issn1532-7590
dc.identifier.issue18
dc.identifier.scopus2-s2.0-85165252412
dc.identifier.scopusqualityQ1
dc.identifier.startpage5229
dc.identifier.urihttps://doi.org/10.1080/10447318.2023.2233126
dc.identifier.urihttps://hdl.handle.net/20.500.12868/5885
dc.identifier.volume40
dc.identifier.wosWOS:001030511700001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherTaylor & Francis Inc
dc.relation.ispartofInternational Journal of Human-Computer Interaction
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260121
dc.subjectHealthcare
dc.subjectartificial intelligence
dc.subjectprimary care
dc.subjectsecondary care
dc.subjecttertiary care
dc.subjecttechnology acceptance
dc.titleAssessing the Behavioral Intention of Individuals to Use an AI Doctor at the Primary, Secondary, and Tertiary Care Levels
dc.typeArticle

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