Radiology software IB Lab KOALA™
medicalorthopedic surgeryfor knee surgery

radiology software
radiology software
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Characteristics

Applications
medical, radiology, orthopedic surgery, for knee surgery, orthopedic, for surgery units
Function
image analysis, reporting, visualization, diagnostic, monitoring, measurement
Type
automated
Deployment mode
web-based, for tablet PC
Other characteristics
server

Description

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

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