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“The nice thing about AI is that it never gets tired. So as we think about AI replacing radiologists, let's focus on AI replacing the tedious, humdrum, boring stuff that needs to be done very well. That's where AI has the greatest opportunity."
- Dr. Brad Erickson, MD, PhD, Mayo Clinic at fireside chat at RSNA

Paige, the global leader in end-to-end digital pathology solutions and clinical AI applications, was able to improve their model's F1 score from .6 to .83 and complete annotation 10 x faster by working with Centaur Labs to annotate their pathology slide dataset.

Our new Research product enables researchers to use our platform and labeling network for free, and our new APIs allow model developers to integrate our data annotation capabilities into their ML pipelines.

At RSNA we announced our Radiology AI Safety initiative in partnership with deepc and Segmed. Together we’ll make it easier to both identify opportunities to improve models and get the data to quickly retrain them.
From new research and regulatory approvals, to new datasets, here are some of our favorite updates in AI in healthcare.
Whether you're -
...Centaur Labs can help accelerate and improve your data annotation process.
Share the resources you're using, the research you're reading and publishing, and the roles you're hiring for and we’ll share with the community next month.
Until next month,
Erik and the Centaur Labs team
Learn all about NLP in healthcare - and the medical text datasets that power it - in our new 4-part blog series.
The new AI-powered scientific search engine, Consensus, partners with Centaur.ai to generate high-quality, scalable scientific data labels for research.
Know Centaur AI's new time range selection feature that speeds up medical video annotation, improving accuracy and efficiency in healthcare data processing.