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RBknee™

Analysing Knee Osteoarthritis x-rays

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Radiology

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Marked
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Using RBknee™ holds the potential to

*Currently under clinical investigation

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Improve reporting
consistency

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Reduce unnecessary MRIs
using GIRFT principles

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Inform trial decisions

Good-to-aexcellent
reliability

Compared with human experts (Interrater reliability: 0.89 (CI95%: 0.84-0.93) on Kellgren-Lawrence grading**

0.88**

Sensitivity
0.87**

Specificity


** Read more in the European Journal of Radiology

Case study

How RBknee™ is bringing value: Bispebjerg Hospital, Denmark

Results
of study

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Patient-centred workflow
Enables same day diagnostics
for patients
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Reducing unnecessary MRI examinations
Only offering MRIs to the patients
who will benefit the most
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Increased Standardisation
Unified pathway for patients with knee osteoarthritis

Performance

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Osteoarthritis and Cartilage Journal

Diagnostic test accuracy, inter- and intrarater reliability of a knee osteoarthritis machine learning decision-aid algorithm in a
near-clinical setting

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European Journal of Radiology

External validation of an artificial intelligence tool for radiographic knee osteoarthritis severity classification

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