AI-powered apps are transforming healthcare by improving diagnosis, reducing errors, and enabling early intervention through real-time data insights. In this project, we helped therapists build a mobile app for accurate scoliosis detection - addressing challenges of late diagnosis due to limited access, subtle symptoms, and reliance on expert imaging.
A team of therapists and medical professionals in Canada aimed to address the challenges of early scoliosis detection, which traditionally relies on X-rays and specialist access. They envisioned a non-invasive, radiation-free mobile solution that could accurately detect and monitor scoliosis using real-time data insights.
The goal was to develop an AI-powered iOS and Android application that enables early diagnosis, improves accessibility, and supports both patients and clinicians with a safer, user-friendly alternative for continuous monitoring from home.