Browsing by Author "Bikila Bekele"

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    Knowledge, Attitudes, Practices, and Factors Affecting Artificial Intelligence Practices Among Final-Year Undergraduate Health Science Students at Addis Ababa University, Ethiopia, (Cross-Sectional Study Design)
    (Addis Ababa University, 2025-06-05) Bikila Bekele; Lemlem Beza; Heyria Hussien
    Background: Artificial Intelligence (AI) was the rapidly advancing tools that involve the development of health systems to perform tasks that typically require human intelligence, such as problem-solving, decision-making, and language processing. However, there was limited research data about it. Therefore, this study aims to bridge that gap by evaluating the level and identifying factors influencing artificial intelligence use among health science students, understand, views, and applies to make sure that they are prepared to join the benefits of this developing technology. Objective: To assess the level of knowledge, attitudes, practices, and factors affecting artificial intelligence practical usage among final-year undergraduate health science students at Addis Ababa University, Ethiopia, 2025. Method: An institutional-based cross-sectional study design was employed. Selected by census sampling method. Data was collected by self-administered structured questionnaires on the Kobo toolbox. Frequencies and proportions are summarized by descriptive statistics. Cronbach’s alpha (K-0.839, A-0.845, P-0.801.) and Chi-square tests were conducted, the Hosmer-Lemeshow test cheeked, and multi-collinearity by variance inflation factor<4.5. Simple and multiple binary logistic regressions assessing the association between independents and outcome variables. Result: Out of 421 participants the mean age was 24.33 ± 1.864 years, with a respondent rate of 96.9%, single 393(96.3%), information internet/social media 334(81.9%) lowest group midwifery departments (10). More than half had inadequate knowledge 294(72.1%), However, favorable attitudes 235(57.6%) and insufficient practices 300(73.5%), nursing students (AOR 0.388, 95%(.170-.885, p-.024)) associated with attitudes and lack of knowledge (AOR_1.905, 95% [1.173–3.09], p_.009) and limited access to technical equipment (AOR_1.739, 95% [1.066 2.837], p_.027) had association to practices. Conclusion: Due to a lack of formal training, most students had inadequate knowledge and practical skills. Nursing students show a significant association between attitude and technology, while limited knowledge and equipment accessibility affect practice. Barriers hinder adoption, underscoring the need for curriculum integration and strategic awareness campaigns. Further research was needed to address adoption challenges and overcome implementation obstacles.