U.K. and Australia-based radiology information system (RIS) provider Soliton IT has completed implementation of its Radiology+ RIS for Peninsula Ultrasound across its 25 sites.
The project included integration of the Radiology+ RIS with a PACS from Insignia Medical Systems.
Peninsula Ultrasound specializes in general ultrasound, gynecology, neurology, musculoskeletal, and vascular scans. The staff includes 12 reporting radiographers who provide reading for Royal Cornwall Hospital, with acute support from Royal Cornwall National Health Service (NHS) Trust.
By combining imaging equipment and IT systems, Peninsula Ultrasound integrates patients' clinical images and records across the NHS network, which allows access for NHS secondary care clinicians and central storage within the NHS framework.
Soliton IT's Radiology+ application incorporates the management of clinical images, patient planning, resource management, results distribution, and statistical analysis into one interface.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
