First Ever Autonomous AI Medical Imaging Application Previewed at ECR 2021

The first-ever autonomous AI medical imaging application to be previewed at this year’s ECR automatically identifies chest X-ray images with no abnormality and produces finalized reports without any intervention from the radiologist.

Oxipit (Vilnius, Lithuania) showcased the first autonomous AI diagnostics application for healthy patient report automation at the largest radiology meeting in Europe - the virtual European Congress of Radiology (ECR) held in Vienna, Austria from March 3-10, 2021. The new product by Oxipit automatically identifies chest X-ray images with no abnormality and produces finalized patient reports without any intervention from the radiologist.


The new AI application will only produce automated reports for chest X-rays, where it is highly confident that the images feature no abnormalities. This allows the sensitivity metric to be higher than 99%. The application is validated using a 500.000 X-ray dataset from multiple medical institutions where Oxipit AI products are currently deployed. Depending on the type of medical institution, the platform can autonomously report on up to 15% of the daily radiologist’s workflow. The application is pending CE mark certification and will be made available for commercial deployments in the Q3 2021.

“Automation of radiology is no longer a promise - it is finally here. It combines our long-term research with firsthand feedback from medical institutions on how AI diagnostics can benefit daily medical practice. We are excited to be the pioneers in the autonomous AI diagnostics field and strongly believe autonomous products will finally boost AI clinical adoption,” said CEO of Oxipit, Gediminas Peksys.


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