Artificial Intelligence (AI) in Medical Imaging: Literacy, Acceptance, Attitude, and Readiness among Radiologic Technologists

Since the Industrial Revolution, technological advancements have transformed the way humans work, with machines increasingly replacing manual labor across various fields. One of the most significant developments is Artificial Intelligence (AI), which has been defined as the creation of intelligent machines and computer programs capable of performing tasks that normally require human intelligence. However, gaps remain in the literature. Most studies focus on students, with fewer examining practicing radiologic technologists, especially in under-resourced settings. Research is also concentrated in the Middle East, Europe, and the Americas, leaving Southeast Asia, particularly the Philippines, less explored. Using a quantitative correlational–predictive design, data were gathered from 100 radiologic technologists and analyzed through descriptive statistics, Pearson correlation, and multiple regression. Results showed that all variables, namely, literacy, acceptance of artificial intelligence (AI), and attitude towards AI, were “high” and significantly correlated with readiness for use among radiologic technologists. Exposure to different technologies emerges as the strongest predictor, followed by exposure and training.

Artificial intelligence, readiness, literacy, acceptance, attitude, radiologic technologists, medical imaging, technology exposure

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