OcuScan: A Novel Deep Learning-Based Ocular Disease Detection System
CWSF · 2026 Disease & Illness Silver Medal
Overview
Diagnosing and treating ocular diseases quickly and accurately is essential, as prolonged ocular disease not only affects patient morbidity, but can also lead to permanent eye damage. Currently, deep learning has been used to automate the ocular diagnostic process to accelerate wait times. However, these systems are limited to the specific subset of diseases present during training. To tackle this problem, OcuScan was developed. OcuScan is a deep-learning based tool that differentiates normal from abnormal eyes independent of the underlying cause. This approach enables OcuScan to detect pathologies outside its training scope. If implemented in healthcare, OcuScan will serve as an important screening tool in ophthalmology. The tool will be able to streamline patient referrals to ophthalmologists, reducing the wait time for diagnosis, particularly important in ophthalmology. Furthermore, when used in conjunction with pre-existing detection systems, OcuScan will strengthen the applicability and help verify the results of those systems.
Awards (2)
- Silver Medal
- Selected for CWSF 2026
Competition history
- CWSF 2026
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