Assessment of Radiographers’ Knowledge of the Application of Artificial Intelligence in Medical Imaging in Nnewi, Anambra State, Nigeria: Multi-Centre Study

Background of study: Artificial Intelligence is changing medical imaging by improving diagnostic accuracy, workflow, and patient care. However, many radiographers may not be fully prepared for its use in clinical practice. Aim: This study aimed to assess the knowledge, perception, and attitudes of radiographers toward the use of Artificial Intelligence in medical imaging in selected diagnostic centres in Nnewi, Anambra State, Nigeria. Objectives: The study focused on assessing radiographers’ knowledge of Artificial Intelligence, their perception of its impact on radiographic practice, their attitudes toward its use in education and clinical work, and the challenges affecting its adoption Materials and methods: A descriptive cross-sectional survey was carried out among 158 licensed radiographers using structured questionnaires shared online and in print. Data were analyzed using descriptive statistics. Results: The majority 136 (86.1%) of respondents held a bachelor’s degree in radiography, with most 72 (45.6%) having less than two years of practice. Large proportion 21 (13.3%) worked with X-ray. Large number 138 (87.3%) of respondents had heard of AI in medical imaging. Ninety five (60.1%) correctly identified AI as machines performing tasks that require human intelligence. While 67 (42.2%) of respondents were familiar with machine learning and deep learning. When asked about the artificial intelligence they know of, 40 (25.5%) of the respondents mentioned computer-Aided diagnosis. Despite high awareness, only 60(38.0%) of radiographers have used AI-powered tools at work. Conclusion: While awareness of Artificial Intelligence is high, there is limited knowledge and practical experience. Structured training programmes, curriculum integration, and strong institutional support are needed to ensure its effective and ethical use in clinical practice.