Two imaging centers. Different workflows. Same outcome.
These case studies describe Histolyx pilot deployments from 2025–2026. Imaging centers are identified by pseudonym. All quotes are attributed by role only — no individual names. Workflow details and volume figures reflect actual deployment conditions.
High-volume outpatient chest CT: reducing time between study arrival and first radiologist interaction.
Meridian operates a multi-site outpatient imaging group across five locations. Their radiology team handles 280+ chest CTs per day during peak volume periods. The core problem: radiologists were spending the first 4–6 minutes of each chest CT read hunting for findings before they could begin clinical evaluation. Backlog accumulated when complex cases extended read times and simpler cases sat behind them in queue.
Histolyx was deployed via DICOMweb integration in a two-week onboarding process. No PACS changes required. Radiologists continued using their existing viewer — Histolyx's annotations appeared as a layer they could toggle on or off.
"The practical difference is that I no longer start each chest CT as a blank slate. The nodules are already circled. I spend my cognitive capacity on clinical judgment, which is what I'm actually trained for."— Chief Radiologist, Meridian Imaging Associates
Multi-modality deployment: extending pre-reading from chest CT to mammography screening workflow.
Pacific Coast is a regional imaging group with a dedicated women's imaging program. They evaluated three AI pre-reader tools across a 90-day period before selecting Histolyx. Their primary concern was over-flagging in mammography — first-generation AI tools had created reader fatigue by flagging too many low-priority findings.
Histolyx's configurable threshold model allowed Pacific Coast's chief radiologist to calibrate the sensitivity level per reader. Higher sensitivity for junior readers; lower for experienced readers who preferred fewer but higher-confidence flags. The same configuration interface covers both chest CT and mammography.
"We evaluated three AI pre-reader tools. Histolyx was the only one that framed its output as 'here are candidates for your review' rather than 'here is the diagnosis.' That framing matters to our radiologists — they trusted it faster."— Imaging Center Director, Pacific Coast Radiology Group