Helping transform medicine, one image at a time
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.
Our computer vision tool powers every major labeling strategy for medical research. Whether it’s simple image categorization, bounding boxes, or pixel-level cell labeling, we’ve done it all. We’ll work with you to figure out the best way to create the annotated training data your model needs.
Medical research isn’t as opaque as many researchers think it is. We’ve successfully run countless projects on high-level, domain-specific papers, identifying the attributes you need to build the dataset that can power your textual models.
We understand that medical data is incredibly sensitive. That’s why we have select channels under NDA to protect the more private data. We’ll work with you every step of the way to make sure your data project can be annotated at scale, safely and securely.
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