Osteoarthritis is a paralyzing joint disease that can lead to joint replacement. Early detection as well as therapy can prevent unnecessary surgeries. IB Lab’s FDA-cleared Knee Osteoarthritis Labeling Assistant (KOALA) module supports physicians in detecting signs of knee osteoarthritis based on standard joint parameters and OARSI criteria of standing radiographs of the knee.


Accurate indicators

Effective image processing provides reliable measurements and accurate indicators for detection of OA.

Clinical value

Supports the analysis of knee OA in adult patients, either suffering from knee OA or having an elevated risk of developing the disease.

Increase quality

Creates a standardized and objective reading protocol and automates the entire process.

Increased efficiency

Potential time savings range from 10-60 seconds per case or 5-25 days per year, just for reading knee x-rays.

  • Independent measurement
    Measures characteristics that are relevant for the diagnosis of OA.
  • Detection alerting
    Proposes an indicator for the evidence of radiographic OA based on the KL score.
  • Fully integrated
    Images are forwarded from the PACS to KOALA, and artificial intelligence driven annotations are attached to the original study.
  • Viewable anywhere
    Results are summarized in a structured report that can be viewed on any FDA approved DICOM viewer.

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“Exact diagnosis and reproducible follow-up exams of osteoarthritis is the basis for a preventive and successful osteoarthritis therapy. Software-based methods can assist the physician in the therapy management and adjustment process.”

Stefan Nehrer, MD, Orthopedic Surgeon, Regenerative Medicine

“What the computer recognizes and describes, I do not have to. This reduces the amount of work to make a diagnosis, and the findings become more accurate. An objective value is given which can be used both for monitoring and forecasting the progress. We offer our patients something that others don’t have.”

Michael Gruber, MD, Radiologist, MSK Radiology