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How an AI-based software for medical imaging diagnosis could be a learning tool for young doctors

Analyzing and interpreting medical images is not an easy job, it requires highly developed skills and years of practice. In Romania, the young doctors that are choosing radiology as a further specialization need to finalize a 4-year medical residency before obtaining a full license to practice medicine as medical image specialists. Usually, they are doing the medical residency within the county hospitals under the supervision of senior radiologists.

The number of medical imagines is constantly growing and more complex investigations like CTs and MRIs are also increasing in demand, but the number of radiologists able to analyze them is not increasing fast enough. In this context, young graduates sent to hospitals are seen as an extra task by the radiologists who usually don’t have enough time to pay them as much attention as needed.

A significant part of our client portfolio consists of public hospitals where radiologists at the beginning of their medical career work. They are using XVision as a learning tool where they can verify the accuracy of their diagnostic. Ciprian is in his second year of residency at Sibiu County Hospital. The platform rapidly gained his trust and he immediately saw the advantages of artificial intelligence especially when it comes to his & his colleagues’ professional development.

XVison platform is very appreciated and used within the Sibiu County Emergency Hospital. Compared to other medical software that we have used until now as viewers, XVision brings added value through the artificial intelligence algorithms that help us in the analysis process.

The differential analysis part is used as a second opinion by the resident doctors. It identifies the pathologies that are most likely to be presented on the x-rays and highlights them on the image. This is very helpful for us, young doctors that are at the beginning of their medical careers. Moreover, the subtraction and suppression filters help us identify and localize even faster the possible fractures. We also appreciate the automatic calculation of the cardio-thoracic index, it saves us time and gives us the possibility to analyze more efficiently the x-rays.

The list of diagnoses suggested by the platform can be used as a checklist for double verifying any x-ray, especially useful for doctors who are at the beginning of the road as we are. Using XVision, the evaluation of radiographs becomes more complex and we, the residents are happy to have an additional learning tool.

-Ciprian, resident doctor at Sibiu County Emergency Hospital

During our collaborations with hospitals that are training young radiologists, we observed that tools like XVision are helping them become better professionals. Medical institutions should learn how to take advantage of new technologies for creating the better specialists of tomorrow and helping the existing ones to be more efficient and productive.

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