Clinical Medical Imaging AI Suite for 40+ Hospital Facilities
Deep learning radiology assistant detecting acute pulmonary conditions with 99.4% precision.
Initial Operational State
Radiology departments across 40 hospital locations faced a severe backlog of emergency chest radiographs. Clinicians required an automated triaging system to instantly flag life-threatening anomalies such as pneumothorax and pulmonary embolism while adhering strictly to medical data privacy guidelines.
Engineering Intervention
Engineered an edge-integrated computer vision pipeline that automatically ingests DICOM images from hospital PACS, runs vision transformers for anomaly segmentation, and generates preliminary diagnostic heatmaps directly inside the physician workflow.
Technologies & Infrastructure Stack
Step-by-Step Implementation Roadmap
Built a DICOM listener microservice that securely ingests scans via TLS 1.3 encryption.
Trained an ensemble Vision Transformer model on 350,000 anonymized multi-institutional clinical scans.
Engineered an interactive WebGL DICOM viewer compatible with desktop and iPad Pro hospital terminals.
Passed rigorous third-party medical software validation, penetration testing, and clinical safety audits.
Production Metrics & Results
“The clinical accuracy and speed of Avora’s solution has fundamentally changed emergency care across our network. Critical patients are now flagged in minutes rather than hours.”
Avora Services Leveraged in this Engagement
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