Dubai, United Arab Emirates, January 31, 2020 --(PR.com)-- �Large scale medical surveys, such as tuberculosis screening in migrant populations or health screening in refugee centers, are human-resource intensive. They call for immediate results and are often understaffed. By providing a clean bill of health for patients with no abnormality, ChestEye Negative enables medical specialists to focus on X-Rays where pathologies are suspected,� notes CEO of Oxipit Gediminas Peksys.

In the words of Mr Peksys, large-scale screening tasks are a key area of medical imaging, where the introduction of AI into the workflow of medical specialists can bring breakthrough advantages. Besides large scale medical surveys, ChestEye Negative is aimed at reducing radiologist workload in a clinical setting.

�For instance, at a primary care center only a fraction of X-Rays feature an abnormality, but a radiologist has to report on all scans. By automating the reporting for healthy patients, radiology specialists can focus their attention on scans with suspected abnormalities,� notes Mr Peksys.

ChestEye Negative further builds upon vanguard capabilities of CE certified ChestEye imaging suite.

�In the last year we surveyed a lot of medical institutions around the world to learn about their challenges. With our extensive experience in machine learning and data science, we are quickly adding new capabilities to fit a diverse set of real-world healthcare applications,� notes Mr Peksys.