THE INFLUENCE OF PERCEIVED IMPACT OF ARTIFICIAL INTELLIGENCE IN MEDICINE ON ATTITUDES TOWARD FUTURE CAREER SECURITY AMONG RADIOLOGIC TECHNOLOGY STUDENTS, FACULTY OF MEDICINE, PRINCE OF SONGKLA UNIVERSITY
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Abstract
This quantitative study investigated the perceived impact of medical artificial intelligence (AI), attitudes toward future career security, and the influence of perceived AI impacts on these attitudes among 94 radiologic technology students (Years 1–4) at the Faculty of Medicine, Prince of Songkla University. Data were collected using a questionnaire with an IOC > 0.50 for all items and a Cronbach's alpha reliability coefficient of 0.80, then analyzed using mean, standard deviation, and multiple regression analysis.
The results showed that overall perceived AI impact was at a high level (x̄ = 4.02, S.D. = 0.44), with readiness to adapt ranking highest
(x̄ = 4.38, S.D. = 0.49), followed by perceived positive impacts (x̄ = 4.25, S.D. = 0.52) and perceived negative impacts (x̄ = 3.42, S.D. = 0.68). Overall attitude toward future career security was at the highest level (x̄ = 4.21, S.D. = 0.51), with the highest mean score indicating that patient care and communication skills cannot be fully replaced by AI (x̄= 4.61, S.D. = 0.54). Multiple regression analysis revealed that readiness to adapt (β = .485, p < .001) and perceived positive impact (β = .312, p = .001) positively influenced career security attitudes, whereas perceived negative impact (β = -.241, p = .002) exerted a significant negative influence. Educational institutions should integrate AI literacy into curricula and foster human-AI collaborative skills to strengthen students' career security.
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