ScoliosisAI offers a mobile application that uses the phone’s camera and built‑in sensors to perform an initial scoliosis screening for teenagers. The app’s AI model analyzes back photos to detect curvature, while the gyroscope‑based scoliometer measures spinal angle, providing a risk assessment that prompts users to seek professional evaluation if needed. The service is delivered free to end users and monetized through partnerships with healthcare providers and referrals to specialist clinics.
Funding
Funding not disclosed
Founders
Product
Problem
Early scoliosis detection is hindered by the need for specialized imaging equipment and in‑person screening programs, which are often unavailable in schools or remote households. Consequently, many adolescents with idiopathic curvature are diagnosed after the optimal treatment window has passed.
Solution
ScoliosisAI delivers a mobile application that transforms a standard smartphone into a dual‑mode screening tool. The app captures a bare‑back photograph and runs a convolutional neural network to estimate spinal curvature, while the built‑in gyroscope and accelerometer function as a digital scoliometer to measure the Cobb angle. Results are processed in a secure cloud pipeline and presented as a risk score with actionable guidance to consult a specialist. The platform also provides curated educational content on diagnosis and treatment pathways, plus a moderated community forum for peer support. By eliminating hardware costs and enabling at‑home or in‑school assessments, the solution expands early‑detection coverage to any teenager with a compatible device.
Target Audience
The primary users are adolescents (ages 12‑18) and their parents seeking convenient early screening, as well as school health administrators and pediatric orthopedic clinics that require scalable, low‑cost assessment tools.
Features
- AI-powered image analysis using a lightweight CNN trained on annotated back‑photo datasets to predict curvature severity
- Smartphone‑based scoliometer that fuses gyroscope and accelerometer data to compute real‑time spinal angle measurements
- End‑to‑end encryption and on‑device anonymization of uploaded photos to meet HIPAA‑level privacy standards
- Cloud inference service that returns a quantified risk score and personalized next‑step recommendations within seconds
- Integrated knowledge base with evidence‑based articles on scoliosis screening, diagnosis, and non‑surgical interventions
- Community forum with role‑based access controls, enabling moderated discussion and experience sharing among patients and caregivers
- Cross‑platform native iOS and Android apps with offline capture capability and automatic sync when connectivity is restored
- API hooks for school health information systems to log screening outcomes and track cohort metrics securely