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Healthcare•AI Services
Machine Learning for Medical Diagnostics
Developed ML models to assist radiologists in detecting anomalies in medical imaging, improving diagnostic accuracy.
The Challenge
Radiologists were overwhelmed with imaging volume, leading to delayed diagnoses. The facility needed to improve throughput while maintaining or improving accuracy.
Our Solution
Built computer vision models trained on anonymized medical imaging data to flag potential anomalies for radiologist review. Implemented explainable AI features to build trust with medical professionals.
Results
- 30% increase in diagnostic throughput
- 15% improvement in early detection rates
- Reduced radiologist burnout
- FDA compliance maintained throughout
Technologies
PyTorchOpenCVDICOMAzure MLPython
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