Healthcare AI Initiative — Healthcare AI Initiative — Cataract Detection Using AI

The challenge

Cataracts are the leading cause of vision impairment and blindness worldwide, especially in ageing populations. Early and accurate detection is crucial to ensure timely intervention, which can significantly improve a patient's quality of life. However, traditional methods of cataract diagnosis, such as slit-lamp examination, are often time-consuming and require specialised expertise that may not be readily available in all regions. In areas with limited access to eye care, this can result in delayed diagnosis and treatment, leading to progressive vision loss. The healthcare industry needs a more accessible, efficient, and reliable solution to enable early cataract detection, especially for remote or underserved populations.

What we built

AI-driven cataract detection technology provides a scalable and effective solution to address these challenges. By employing machine learning models trained on large datasets of retinal and lens images, AI can rapidly and accurately identify early signs of cataracts, often before symptoms become noticeable to patients. This technology can be deployed on a variety of devices, including smartphones, enabling primary healthcare providers and patients to perform preliminary screenings. AI-based cataract detection enhances access to eye care, reduces the diagnostic burden on specialists, and ensures that patients at risk of vision loss receive timely referrals for intervention.

Outcome

The system went live on schedule and is in active use today. As with every Kirshi Technologies engagement, delivery was sprint-based with measurable milestones at each stage, and Healthcare AI Initiative retained full intellectual property ownership of all custom code from day one.

Technologies

Machine Learning Retinal Imaging Smartphone Screening Accessibility