AI-Human Collaboration in Liver Tumor Diagnosis with DCE-CT

This clinical study explores how artificial intelligence (AI) can work together with human doctors to improve the diagnosis of liver tumors using a special type of imaging called dynamic contrast-enhanced computed tomography (DCE-CT). AI has shown great potential in analyzing medical images, sometimes even matching or surpassing the skills of experienced doctors. However, challenges remain in applying these AI tools in real-world settings due to variability in patient populations and imaging conditions. By investigating this collaboration, the study aims to enhance diagnostic accuracy and create a more reliable framework for diagnosing liver tumors. In the study, radiologists and an AI system will simultaneously analyze the same DCE-CT images. Radiologists will follow their usual procedures, while the AI system provides its analysis independently. When their assessments differ, a panel of experts will review the cases to reach a final decision. This process helps to identify how human expertise and AI can complement each other, improving overall diagnostic performance. By including a wide range of clinical cases, the study seeks to ensure the AI’s effectiveness across different scenarios, ultimately aiming to improve the integration of AI into clinical practice.