Breaking Barriers: Unveiling Factors Influencing the Adoption of Artificial Intelligence by Healthcare Providers

Artificial intelligence (AI) is an emerging technological system that provides a platform to manage and analyze data by emulating human cognitive functions with greater accuracy, revolutionizing patient care introducing paradigm shift the healthcare industry. The purpose of this study identify underlying factors affect adoption artificial in (AIH) providers understand “What are influence providers’ behavioral intentions adopt AIH their routine practice?” An integrated survey was conducted among providers, including consultants, residents/students, nurses. included items related performance expectancy, effort initial trust, personal innovativeness, task complexity, technology characteristics. collected were analyzed using structural equation modeling. A total 392 professionals participated survey, 72.4% being male 50.7% 30 years old or younger. results showed trust have positive on use AIH. Personal innovativeness found while complexity characteristics expectancy for study’s empirically validated model sheds light intention AIH, findings can be used develop strategies encourage adoption. However, further investigation necessary individual affecting providers.