Al Badi, Fatma KhamisAlhosani, Khawla AliJabeen, FauziaStachowicz-Stanusch, AgataShehzad, NaziaAmann, Wolfgang C.2021-03-242021-03-24© 20212022-06Al Badi, F. K., Alhosani, K. A., Jabeen, F., Stachowicz-Stanusch, A., Shehzad, N., & AMANN, W. (2022). Challenges of AI adoption in the UAE healthcare. Vision, 26(2), 193-207. https://doi.org/10.1177/097226292098839809722629https://doi.org/10.1177/0972262920988398http://hdl.handle.net/20.500.12519/364The purpose of this study is to prioritize the challenges of adopting Artificial Intelligence (AI) in the healthcare sector of the United Arab Emirates (UAE). An Analytic Hierarchy Process (AHP) method was used, and the data were collected from the managerial-level executives (n = 27) involved in AI adoption in their respective healthcare organizations. The results prioritized the AI main criteria and sub-criteria based on their priority weights in the healthcare sector. The results also revealed that accuracy, privacy and security criteria are the most important factors to optimize the healthcare sector with AI. The research findings shall help policymakers formulate suitable strategies with current adoption and acceptance of AI in the healthcare sector. The findings will help policymakers utilize this study’s outcomes to create a well-defined picture of AI’s actual adoption and acceptance in the healthcare sector. © 2021 Management Development Institute.enSAGE permits the non-commercial reuse of our Journal article abstracts in their entirety, without permissionAnalytic Hierarchy Process (AHP)Artificial Intelligence (AI)Ethical BarriersHealthcareMachine LearningUnited Arab Emirates (UAE)ArticleCopyright : © 2021 Management Development Institute.