MedInsight AI

A network of diagnostic centers was facing a critical bottleneck: radiologists were processing 200+ scans daily with an average turnaround of 48 hours for routine cases. Burnout was high, and missed findings on routine scans were becoming a liability. They needed a system that could triage cases intelligently, flag urgent findings immediately, and integrate seamlessly with their existing imaging infrastructure (PACS) without requiring a workflow overhaul.

We built a cloud-based AI analysis pipeline that processes DICOM images through a multi-model ensemble (CNN + Vision Transformer) trained on 500,000+ annotated medical images. The system automatically triages incoming scans into three priority levels: Critical (immediate review), Elevated (24hr review), and Routine (standard queue). For critical findings, the system sends real-time alerts to the on-call radiologist with annotated heatmaps highlighting regions of concern. The entire pipeline runs on HIPAA-compliant AWS infrastructure with end-to-end encryption.