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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
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