Bringing powerful machine learning models to help push medicine forward. Working with electronic health records (EHR) to build next generation devices.
Machine learning in medicine takes many forms. Computer vision algorithms can already nearly equal expert diagnoses for deadly diseases and radiology scans. Medical papers are currently being extracted and annotated to create databases that can find symptom pairings and rare disease research that unlock an entire century of medical thought for small town doctors. And with more research and data being collected every day, the promise of AI in medicine is only going to grow.
By using cutting-edge natural language processing algorithms we are able to transform unstructured electronic health records into rich data structures. This in turn allows sophisticated machine learning models to be trained achieving better classification results.
Computer vision became crucial for medicine applications and comes in many shapes. We're working on building classification models based on expertly labeled training data that can be used for early diagnosis and other applications.
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