Case Study: a European healthcare technology company accelerates retinal disease detection with Kili Technology

Accelerating retinal disease detection at low cost

A European healthcare technology company focusing on ophthalmology sought to accelerate and scale its AI-powered eye screening platform. The customer faced challenges in managing the annotation of diverse medical data types, such as retinal photography and CT scans, which was a complex and inefficient process using multiple tools. They also needed to significantly speed up the labeling process to enrich their AI model while ensuring the highest standard of quality.

To solve this, the company partnered with Kili Technology, leveraging its versatile data annotation platform. Kili provided a single, user-friendly solution compatible with all their data types, along with machine learning and quality control features like consensus and honeypot to accelerate and scrutinize the work. This enabled the customer to deliver real-time eye diagnoses, reducing the cost of performing diagnosis by 40% and making the service more accessible to the public.