Radiographers’ Acceptance on the Integration of Artificial Intelligence into Medical Imaging Practice

Hairenanorashikin Sharip; Wan Farah Wahida Che Zakaria; Sook Sam Leong; Maida Ali Masoud; Mohamad Zafran Hakim Mohd Junaidi

doi:10.21834/e-bpj.v8i25.4872

Authors

Hairenanorashikin Sharip Faculty of Health Sciences, Universiti Teknologi MARA (UITM) Malaysia
Wan Farah Wahida Che Zakaria Faculty of Health Sciences, Universiti Teknologi MARA (UITM) Malaysia
Sook Sam Leong Faculty of Health Sciences, Universiti Teknologi MARA (UITM) Malaysia
Maida Ali Masoud Mnazi Mmoja Hospital, Kaunda Rd, Zanzibar, Tanzania
Mohamad Zafran Hakim Mohd Junaidi Faculty of Health Sciences, Universiti Teknologi MARA (UITM) Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v8i25.4872

Keywords:

Artificial Intelligence (AI), Radiographer, Knowledge and Attitude, Job Security

Abstract

Artificial intelligence (AI) integration in medical imaging is a promising field for enhancing patient care, performance, and efficiency. Radiographers, on the other hand, are concerned about AI's acceptance and potential to replace them. This study assessed radiographers' acceptance of AI integration by considering their knowledge, attitudes, and job security. Based on demographic characteristics, there were no significant differences in knowledge, attitude, or job security level. Completing AI training, on the other hand, had a considerable influence. Overall, radiographers have a good level of knowledge and are enthusiastic about using AI tools into their regular activities.

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