Case Study: iSono Health achieves faster, more reliable breast cancer detection with Arionkoder

iSono Health boosts model accuracy to 90% with Arionkoder in 8 weeks

iSono Health, a medical technology company, faced the challenge of improving the AI accuracy and user experience of its 3D breast scanner for early cancer detection. The system had a 70% model accuracy and a high false positive rate, which created significant friction and increased review time for radiologists. To address this, they partnered with the vendor Arionkoder.

Arionkoder implemented a dual-track solution focusing on both UX/UI and AI/ML improvements. They streamlined the radiologist workflow and modified the AI's learning process, which boosted model accuracy from 70% to 90% and achieved a 28.7% reduction in false detections. The solution provided by Arionkoder resulted in faster, more trustworthy scan reviews and delivered a clear roadmap for iSono Health's future product and AI development.

iSono Health