AI-based Software for Chest X-rays Receives CE Certification

Oxipit ChestEye provides analysis and preliminary reports for 75 most common radiological findings - the largest scope of diagnosis currently available on the market - with an average area under curve metric of 93%.

ChestEye imaging suite encompasses a fully automatic computer aided diagnosis (CAD) platform which supports 75 radiological findings. The software localizes these features on a radiograph as a heatmap. It also generates a standardized preliminary text report that incorporates all the radiologically relevant information present in a chest X-ray image. Its search module incorporates a search engine for finding similar-looking chest X-rays in a given database, empowering the user to quickly find retrospective cases with a similar radiological appearance. The similarity is identified by a neural network, which judges on the pathology present as well as the location of the pathology, its severity and other features.

The suite also includes a patient prioritization solution. After receiving the input of ChestEye scan results, the platform prioritizes potentially unhealthy patients inviting urgent specialist attention. By automatically arranging scans on the basis of urgency, it reduces time-to-treatment for time sensitive conditions such as pericardial effusion, pneumothorax, catheter or intubation malposition. The ChestEye suite is available for deployment on premises as well as a cloud-based software and seamlessly integrates into the workflow of any radiology department.

ChestEye is the first AI-based full workflow medical imaging suite to be certified by a CE mark which ensures that the software complies with medical device regulations and paves the way for commercial deployments in 32 European countries.

“The burden on radiologists has been constantly increasing. This has led to decline in quality of service for patients and bottlenecks to access good quality radiological reporting. The CE mark brings us a step closer in helping radiologists to harness the capabilities of Deep Learning in order to multiply their productivity and provide excellent service around the clock,” said Oxipit CEO Gediminas Peksys.

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