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Healthcare Diagnostic Assistant
An AI-powered tool that assists healthcare professionals in diagnosing conditions by analyzing patient data, medical images, and symptoms against a vast database of medical knowledge.
Overview
AI tool to analyze patient data, medical images, and symptoms for accurate diagnoses.
Key Features
- DICOM image analysis for X-rays/MRIs
- Drug interaction warnings
- HIPAA-compliant patient data handling
Challenges
- Limited labeled medical datasets due to privacy constraints
- High stakes for false negatives (e.g., missed tumors)
- Integration with legacy hospital EHR systems
Strategic Approach
- Partnered with 5 hospitals for federated learning on anonymized data
- Trained vision models (U-Net for segmentation) on NIH ChestX-ray dataset
- Deployed explainability modules to show diagnostic reasoning to doctors
- Built HL7/FHIR APIs for EHR interoperability
Technologies
- Medical AI: MONAI, TensorFlow Extended (TFX)
- Cloud: Google Cloud Healthcare API
- Compliance: HIPAA, GDPR
Impact
- Reduced diagnostic errors by 35% in pneumonia detection trials
- Cut radiologist workload by 20 hours/week at partner clinics
- Achieved 98% sensitivity in identifying rare conditions
Future Roadmap
- Expand to genomic data analysis for personalized treatment
- FDA clearance for Class II medical device status
Ready to Enhance Your Diagnostic Capabilities?
Contact us to learn how our healthcare diagnostic assistant can improve patient care in your facility.
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