AI assisting doctors treating
macular degeneration

3D OCT scans
of the Retina

Currently trialed by clinicians

2 patents pending developed

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AI Technique

Computer vision on 3D OCT scans

For patients with eye disease such as macular degeneration, the macula needs to be scanned and analysed at every appointment. Macuject’s software combines AI and real-world expertise to help clinicians analyse the scans and take the appropriate action. The Macuject team needed a machine learning model to underpin the software, and an easy-to-understand labelling platform for experts to annotate data remotely. 

Silverpond used HighLighter to train machine learning models to detect signs of macular degeneration. A custom plugin for HighLighter’s labelling tool was created based on the relationship between layers in the 3D scans. HighLighter Quality Assurance tools adjusted for subjectivity in doctors’ labels, resulting in a more accurate model

-The model detects three types of pathology that are indicators of disease progression
-Potential to improve patient outcomes and clinician efficiency – the model is currently being tested by clinicians in practice 
-HighLighter’s flexible labelling tool supported remote labelling, improved efficiency, and provided custom industry-specific support
-Resulted in two patents pending for Macuject

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Comparing labels from different clinicians 
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Clinicians labelled types of pathology in 3D eye scans
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Using the Quality Assurance tool, macuject could easily see where clinicians labelling differed 

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