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HealthcareMedCore Analytics
Medcore Diagnostic Ai
Client Case Study & ROI Analysis
MedCore Analytics Case Study
Manual radiology review of 50,000+ daily chest X-rays causing 48-hour diagnostic delays and physician burnout in a network of 120 hospitals.
Key Capabilities
- →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
Industry Use Cases
Healthcare
Technologies Used
PyTorchTensorRTFastAPIAWS SageMakerHL7 FHIR
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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