Virtual Imaging Trial

Virtual imaging trials (VITs) use computational models of human anatomy and physiology, often called digital twins, to evaluate medical imaging technologies and AI algorithms. Current research focuses on creating more realistic and diverse digital twins, leveraging techniques like automated segmentation from CT scans and large language models to generate personalized patient profiles, and employing these in VITs to assess AI model performance and robustness across various patient characteristics and imaging parameters. This approach offers a cost-effective and efficient way to improve the reliability and generalizability of medical imaging AI, ultimately leading to more accurate and equitable diagnostic tools.