IB Lab KOALA™ uses deep learning technology for detecting radiographic signs of knee osteoarthritis and augments the reporting workflow. The software application scores the stage of osteoarthritis according to the Kellgren & Lawrence grading system. It also provides precise and automated measurements of the minimum joint space width, as well as assessment of the severity of joint space narrowing, osteophytosis and sclerosis based on OARSI criteria.
IB Lab KOALA™ highlights relevant clinical findings by applying the latest international medical standards to enable timely and accurate decision making. The findings are summarized in a visual output report, attached to the original x-ray image and saved automatically in the PACS system. The AI-results are fed as text into the predefined RIS-template for accelerated reporting. IB Lab KOALA™ facilitates monitoring of disease progression by facilitating comparison of radiographic disease parameters over time.
Findings
Kellgren & Lawrence grade
Minimum joint space width
Joint space narrowing
Sclerosis
Osteophytosis
Benefits
Saves time
Enables instant, verifiable decision making in difficult cases
Easy to monitor
Facilitates monitoring of knee osteoarthritis progression
Accurate
Enhances diagnosing and reporting knee osteoarthritis according to the latest clinical guidelines