The Impact of Artificial Intelligence on Diagnostic Accuracy in Radiology: A Meta-Analysis

Abstract

This scholarly article presents a comprehensive meta-analysis examining the influence of artificial intelligence (AI) on diagnostic accuracy in radiology. As medical imaging continues to play a crucial role in clinical decision-making, the integration of AI tools has garnered significant attention. Our meta-analysis synthesizes findings from multiple studies to evaluate the overall impact of AI on diagnostic accuracy, exploring its potential benefits and limitations. The results provide valuable insights for healthcare practitioners, policymakers, and researchers aiming to enhance radiological diagnostics through AI applications.

Keywords: Artificial Intelligence, Radiology, Diagnostic Accuracy, Medical Imaging, Meta-Analysis, Machine Learning, Healthcare, Clinical Decision-Making.