Revolutionizing Diagnostic Accuracy: The Role of Artificial Intelligence in Modern Radiology

Abstract

Artificial Intelligence (AI) is rapidly transforming the field of radiology by augmenting diagnostic accuracy, streamlining workflows, and enhancing patient outcomes. This study investigates the comparative performance of AI-assisted radiological assessments and traditional radiologist evaluations using a dataset comprising 100 patient cases. Statistical analyses reveal significant differences in diagnostic accuracy, with AI demonstrating higher consistency and precision. The paired samples t-test highlights a notable advantage of AI systems over radiologists (p < 0.005), supported by effect size calculations. Gender-based comparisons indicate minimal disparities, confirming the robustness of AI performance across demographic groups. Correlation analyses underscore the reliability of AI in reducing diagnostic variability. This study emphasizes the potential of AI to complement radiologists, addressing existing challenges in medical imaging interpretation. Future research should focus on integrating AI systems with human expertise and exploring their applications across diverse imaging modalities.