The reading burden paradox: More tools, less relief

Wednesday 17th June 11am

AI in radiology has hit a tipping point: powerful algorithms are everywhere – yet real impact on reading burden remains inconsistent.

In this session, we tackle the reading burden paradox: why the workload persists and how to fix it. Drawing on 30+ years of experience, we outline three
principles to move beyond fragmented tools:

(1) Intelligent curation to focus on what matters

(2) AI that boosts confidence and consistency

(3) Seamless workflow integration to reduce reading and reporting effort

Please apply below to join the workshop. The team will be in touch shortly following your application. 

Filter Sessions