ODOEMENA FESTUS CHINEMEZE

This study evaluated the knowledge, perceptions, and challenges regarding the role of Artificial Intelligence (AI) in X-ray reporting among 60 radiographers professionals in Edo State, Nigeria. Data were analyzed using descriptive statistics and Pearson's correlation. The results indicated a moderate level of foundational knowledge (Mean = 6.12 out of 10), with strengths in macro- concepts but weaknesses in understanding specific AI tools ( 40.00% ) and limitations/bias ( 45.00% ). Overall perceptions were positive and optimistic (Mean = 3.65 ), with strong agreement that AI should serve as a supportive tool (Mean 4.35) to enhance workflow efficiency (Mean 4.30). Inferential analysis revealed a significant positive correlation (r = 0.52, p < 0.001) between knowledge and favorable perception, confirming that education drives professional acceptance. However, the adoption of AI faces severe structural barriers: Lack of infrastructure (e.g., high-speed internet) was ranked as the most frequent challenge (Mean 4.10), followed by high implementation costs and insufficient training. The study concludes that while the human capital in Edo State is willing and ready to adopt AI, systemic infrastructural and educational deficits represent the primary obstacles. Targeted investment in Industrial Training infrastructure and mandatory specialized training are essential to transition AI from theory to reliable clinical practice.