The new AI-powered scientific search engine, Consensus has officially announced its partnership with Centaur Labs to generate high-quality and scalable scientific data labels.
From SMS to insurance claims to pathology reports and scientific studies, in this post we dig into the most common type of medical text datasets leveraged for NLP in healthcare.
In this new era of hybrid work, it's more important than ever to be creative and thoughtful about bringing your team together. Learn a little more about what we're doing to help our team thrive, wherever they're working.
Learn all about NLP in healthcare - and the medical text datasets that power it - in our new 4-part blog series.
Learn about our partnership with Mayo Clinic spin out Lucem Health, and how clinical AI development teams can access high quality medical data annotations at scale.
Listen to Co-founder and CEO Erik Duhaime talk about the origins of Centaur Labs and the future of medical data labeling.
The model recommends patients for partial (UKA) or total (UKA) knee arthroplasty with high confidence, based on standard knee x-ray views.
Learn about why we're called Centaur Labs!
Our research collaboration with Dr. Jeremy M Wolfe just published in Cognitive Research: Principles and Implications.
We’re humbled and honored to be recognized by CB Insights as one of the top 150 digital health startups in the world!
We are so humbled and excited to share our recent $15M Series A funding round led by Matrix Partners!
Today, we’re getting to know Tom Gellatly, a Centaur Labs co-founder and the VP of engineering!
Learn more about how Centaur Labs is working with the Brigham and Women's Hospital team to develop multiple AI applications for point of care ultrasound.
Medical assessments are rarely black and white. To handle the grey, we offer a rigorous, data-driven approach to QA.
Founder and CEO of Centaur Labs talks to AI Med magazine about the power of collective intelligence.
Understand why traditional labeling pipelines are so hard to scale and learn how our solution can 10X your labeling pipeline in a shorter time frame and with higher accuracy
Learn the how to mitigate the impact of medical error in your data labeling pipeline by intelligently aggregating multiple expert opinions together
Access a collection of dozens of open source image datasets for medical AI across a variety of formats including X-ray, CT, Ultrasound, Whole Slide Imagery, MRI and more
Understand how Centaur Labs' data annotation platform offers richer results than traditional data labeling vendors
Examine the unique challenges with medical data labeling, the relative lack of accuracy produced by traditional data labeling methods, and discover a more accurate and scalable alternative
How Centaur Labs leverages multiple expert opinions to create the most accurate medical data labeling platform for text, image and video data