Knowledge, attitudes and practices towards artificial intelligence (AI) among radiologists in Saudi Arabia

Abstract

As the science of artificial intelligence (AI) continues to grow, its incorporation into the medical profession has become more widespread globally. Incorporating AI into healthcare systems has the ability not only to improve diagnosis and treatment procedures, but also to optimize resource allocation. This study aims to get a deeper understanding of radiologists' perspectives on the incorporation of AI in the area of radiology in Saudi Arabia. The purpose of this qualitative study is to provide recommendations that will enhance the growth and performance of the nation's radiography workforce. We conducted a cross-sectional study using an online survey to collect data on the demographic features, knowledge, perceptions, and practices linked to AI among radiologists and subspecialties. A suitable sample of 129 radiologists was selected and the data were analyzed using chi-squared testing to compare factors. Our study indicates that out of 129 radiologists, 89 (69.0%) respondents, who had heard about AI, had a basic knowledge of artificial intelligence/deep learning/machine learning. While the majority of the participants had a positive outlook, 17.0% of participants indicated concern that AI will replace their jobs. The findings of the study provide a comprehensive overview of the current level of understanding and utilization of AI in radiology among the radiologists in the region. The results suggest that radiologists have a basic knowledge of AI, and they are eager to incorporate it into their field; however, there is a need for further training to increase the radiologists' applications in the field.

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