Perceptions of Portuguese radiology professionals regarding the implementation of artificial intelligence based on a single center cross sectional survey

Background Artificial intelligence (AI) is progressively transforming radiology departments, offering new opportunities to enhance both efficiency and quality of care. This study explores the perceptions of radiology professionals regarding the integration of AI into the workflow of a Medical Imaging Department (MID). Methods A cross-sectional study was conducted between May 24 and June 14, 2024, using a structured questionnaire completed by 61 radiology professionals from a central hospital in Portugal. For statistical data analysis, descriptive and inferential methods were used. Results 77.1% of professionals reported being familiar with AI, and 64% with its practical applications. The majority believe that AI can reduce the time required for medical tasks (81.9%) and minimize waste and costs (77.1%). The primary challenges identified were a lack of internal know-how (70.6%) and variability in data records (68.9%). A moderate correlation was found between implementation intention and AI knowledge (r = 0.437, p < 0.05), and a strong correlation between implementation intention and perceived benefits of AI (r = 0.734, p < 0.05). Conclusion Most professionals acknowledge the transformative potential of AI in radiology workflows, although key barriers to implementation still persist. These findings may support the effective integration of AI in medical imaging departments, with potential benefits for clinical and operational performance.