Case Study: Princess Alexandra Hospital NHS Trust improves lung nodule detection and radiology reporting with Agfa HealthCare AI

A Agfa HealthCare Case Study

Princess Alexandra Hospital NHS Trust improves CT reporting by 26% with Agfa HealthCare

The Princess Alexandra Hospital NHS Trust sought to enhance its radiology department by integrating Artificial Intelligence into its diagnostic workflows to improve efficiency and patient care. The challenge was to find a way to seamlessly embed validated AI applications into their existing systems to support radiologists in detecting and managing findings, particularly incidental lung nodules. They partnered with vendor Agfa HealthCare to address this need using their RUBEE AI framework and a CT AI package that included Riverain Technologies' ClearRead CT algorithm.

Agfa HealthCare implemented its RUBEE AI framework, which embedded the AI tools directly into the hospital's Enterprise Imaging platform. This solution provided radiologists with automated nodule detection, characterization, and measurement, along with features like Vessel Suppress. The results included a 26% reduction in reading time, a 29% reduction in missed nodules, and more accurate reports. The streamlined workflow also contributed to improved patient care and outcomes through the early detection of potential cancers.


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