Blog tagged as Imaging Read Error Rates

Site-level imaging errors affect up to 50% of oncology trial reads, delaying trials and potentially censoring patients. When quality is enforced at the point of capture, error rates drop by more than 80%, saving millions of dollars and months in trial timelines.

Moe Alsumidaie’s latest article explores how the updated ICH E6(R3) guidance raises the bar for imaging in clinical trials. With imaging as the primary endpoint in most oncology studies, sites and sponsors must now meet the same Good Clinical Practice (GCP) standards as other critical data types.

Imaging is essential to trials but remains one of the most broken workflows. Yunu CEO Jeff Sorenson shares how real-time, connected platforms improve accuracy, speed, and patient outcomes by replacing outdated imaging processes.

This interview with Yunu CEO Jeffrey Sorenson explores how elevating imaging data in clinical trials can improve data integrity, trial efficiency, and patient outcomes, highlighting tech innovations and structural shifts needed for modern oncology research.

Emerging technologies are transforming pediatric oncology trials—boosting efficiency, protecting staff, and accelerating access to life-saving therapies through AI, real-world data, decentralized models, and digital tools.