RadAgent: A tool-using AI agent for stepwise interpretation of chest computed tomography
Researchers have developed RadAgent, an AI system designed to improve the interpretation and reporting of chest CT scans. Unlike previous models that provide only final outputs, RadAgent generates reports through a stepwise, interpretable process, showing clinicians the intermediate decisions and tool interactions. This approach enhances clinical accuracy by 5.8 points in macro-F1 and 18.6% in micro-F1, significantly improves robustness under adversarial conditions, and introduces a new capability for faithfulness in reporting. AI
IMPACT Enhances transparency and reliability in AI-driven radiology, potentially improving diagnostic accuracy and clinician trust.