AI For Healthcare
From improving patient health to clinical trials, Snorkel Flow provides healthcare innovators with a data-centric platform to build custom AI applications powered by programmatic data labeling.
Case Study —
Biotechnology Pioneer Uses Snorkel Flow For Clinical Trial Analytics
Saved in on labeling for extraction
Snorkel AI is leading the shift from model-centric to data-centric AI development to make AI practical.
Save time and costs by replacing manual labeling with rapid, programmatic labeling.
Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data.
Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets.
Version and audit data like code, leading to more responsive and ethical deployments.
Incorporate subject matter experts' knowledge by collaborating around a common interface–the data needed to train models.
Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.
Use Cases —
AI Solutions For Healthcare
Improving Patient Outcomes
Identify entities in patient records and recognize insured persons, loss amount, and policyholder information to process claims faster or monitor potentially spurious claim behavior to detect subrogation claims.
Clinical Trial Analytics
A Radically New Approach to AI
With Snorkel Flow
With Conventional Approaches
The only AI platform that lets you label data programmatically, train models efficiently, improve performance iteratively, and deploy applications rapidly.