Vilnius, Lithuania—February 10, 2026—Oxipit announces the launch of CT Eye and MSK Eye, two new CE-certified AI solutions expanding its radiology AI portfolio beyond chest X-ray into chest CT and musculoskeletal X-ray workflows. Oxipit will demonstrate these solutions at the European Congress of Radiology (ECR) 2026 this March, alongside its globally adopted CXR Suite, known for introducing the world’s only autonomous healthy chest X-ray reporting solution.

The new solutions bring Oxipit’s established workflow approach—combining AI- assisted detection, study prioritisation and automated report-to-image quality checks—into additional imaging modalities, allowing radiologists to benefit from AI support directly inside their existing reporting environment.

CT Eye is designed to assist radiologists reviewing adult chest CT studies by identifying radiological signs associated with pulmonary embolism (including incidental PE in contrast studies), lung nodules, and lung consolidation. The system helps prioritise studies where these findings may be present, provides study-level localisation of suspicious areas, and performs automated quality checks by comparing image content with the radiologist’s final report using integrated NLP analysis.
MSK Eye applies the same principle to musculoskeletal X-ray reporting, supporting radiologists in identifying a wide range of skeletal and joint abnormalities, including fractures (acute, chronic and compression), dislocations, degenerative changes, post- surgical states, bone lesions, and other clinically relevant findings. As with CT Eye, the system supports triage and performs automated post-report checks to highlight potential discrepancies between the image and the report.

In both solutions, radiologists continue reporting inside PACS as usual. AI analysis happens in the background, helping clinicians start from a pre-analysed study, recognise which cases may require urgent attention, and receive a second automated review after reporting—all without introducing new tools or disrupting established routines.

“Oxipit’s approach to AI has always been workflow-first. As radiology departments worldwide manage growing volumes and complexity, CT Eye and MSK Eye bring AI- supported triage and automated quality assurance into CT and musculoskeletal imaging, helping radiologists start from a pre-analysed study and benefit from a reliable second check after reporting—all inside their existing PACS environment,” said Peter Corscadden, CEO of Oxipit.

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