Auralysis has evolved from an initial medical image classification prototype into a fully deployed, end-to-end medical AI system. What started as a model that could classify MRI and X-ray images has now grown into a complete diagnostic pipeline.
The current version not only analyzes MRI and X-ray scans, but also generates structured medical reports using LLMs, simplifies the results into patient-friendly explanations, and delivers doctor-style voice output. The entire workflow is cloud-deployed and continuously monitored using Datadog to track requests, latency, confidence, and error signals in real time.
A mobile app now brings everything together, allowing users to upload images and receive both written and voice-based explanations within seconds. This evolution has transformed Auralysis from a standalone ML model into a production-ready, observable, and user-focused medical AI application.
Next steps include expanding disease coverage, adding multilingual voice support, and further improving clinical accuracy and reliability. More updates coming soon.
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