Medical companies need a way to quickly and accurately analyze rapid diagnostic tests, but current methods often lack the speed and precision required for timely patient monitoring and early disease detection. Traditional analysis can be subjective and prone to human error, leading to inconsistent results.

Scanbase provides an API that leverages image processing and machine learning to analyze photographs of rapid diagnostic tests, delivering immediate, objective results. The platform supports patient monitoring by accurately collecting data and alerting healthcare providers to critical changes. Scanbase's AI models can also analyze diagnostic test results, X-rays, MRIs, and CT scans, aiding in the early detection of diseases and abnormalities. The platform transforms unstructured data into usable structured formats, enabling organizations to make data-driven decisions and automate processes.

API for analyzing photographs of rapid diagnostic tests

Computer vision for patient monitoring and early disease detection

Predictive AI models and LLMs to surface early disease indicators from historical lab results

NLP and machine learning techniques to extract information from unstructured data

Image pipelines with robust image processing

GPU and cloud integration for scalability

Data privacy and security adhering to GDPR or HIPAA

Scanbase primarily serves medical diagnostic enterprises, healthcare organizations, and healthcare systems seeking to enhance operational efficiency and improve patient outcomes through AI-powered solutions.