The Knee OsteoArthritis Labeling Assistant (KOALA) software provides metric measurements of the joint space width and indicators for presence or absence of radiographic features of osteoarthritis (OA) on posterior-anterior or anterior-posterior (PA/AP) knee X-ray images. The outputs aid clinical professionals who are interested in the analysis of knee OA in adult patients, either suffering from knee OA or having an elevated risk of developing the disease. Outputs are summarized in a KOALA report that can be viewed on any FDA approved DICOM viewer workstation. KOALA operates in a Linux environment and can be deployed to be compatible with any operating system supporting the third-party software Docker. The integration environment has to support KOALA data input and output requirements. The device does not interact with the patient directly, nor does it control any life-sustaining devices.
An interpretive software program intended to be used to analyse non-dental x-ray images (e.g., chest, mammograms, tomograms) to detect and localize suspected abnormalities (e.g., tumours, emphysema, tuberculosis, blunted costophrenic angle) and possibly provide results as clinically relevant tags. It typically utilizes artificial intelligence (AI) and deep learning techniques, and may be compatible with radiology information systems, data formats, and medical imaging software programs [e.g., picture archiving and communication system (PACS), digital imaging and communications in medicine (DICOM) format].