Back to case studies
HealthcareMedCore Analytics
Medcore Diagnostic Ai
99.2%
Accuracy
87%
Time Saved
50K+
Daily Volume
The Challenge
Manual radiology review of 50,000+ daily chest X-rays causing 48-hour diagnostic delays and physician burnout in a network of 120 hospitals.
Our Solution
Deployed a custom computer vision model fine-tuned on 2.3M labeled images with multi-class pathology detection, integrated directly into existing PACS systems via HL7 FHIR API.
Results & Impact
- 99.2% diagnostic accuracy exceeding radiologist benchmark
- Reduced time-to-diagnosis from 48 hours to under 6 hours
- Processed 50,000+ images daily with sub-500ms inference
- FDA 510(k) clearance achieved within 18 months
Technologies Deployed
PyTorchTensorRTFastAPIAWS SageMakerHL7 FHIR
Get Started Today
Ready to Build Something Extraordinary?
Book a free 30-minute discovery call. No commitments — just an honest conversation about how AI can transform your business.
No spam. No sales pressure. Just real value.