The camera is used in other research applications than just diabetic retinopathy imaging, with good results: https://journals.lww.com/jneuro-ophthalmology/abstract/2026/03000/deep_learning_based_detection_of_papilledema_on.16.aspx
AI abstract: The study investigated whether artificial intelligence can identify severe optic nerve changes from fundus images taken with a standard handheld camera.
Key findings:
• Technology: A deep learning system (DLS) tested with a portable camera manufactured by Finnish company Optomed.
• Data: A huge international database with over 20,000 images from dozens of different countries.
• Efficiency: The system was highly accurate (99.5%) and reliably detected papilledema even without pupil-dilating eye drops.
• Significance: The results show that AI-based diagnostics work reliably even in “field conditions” with portable devices.