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Explore our latest thinking in medical data labeling
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Our latest posts
Our data-driven approach to QA
Medical assessments are rarely black and white. To handle the grey, we offer a rigorous, data-driven approach to QA.
Laura Kier
Mar 29, 2021
An interview with CEO Erik Duhaime (via AIMed)
Founder and CEO of Centaur Labs talks to AI Med magazine about the power of collective intelligence.
Laura Kier
Feb 18, 2021
From MVP to scaleup: how to 10X your medical data labeling pipeline
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
Chris Hilger
Jan 10, 2021
When experts disagree, who do you trust for your medical AI?
Learn the how to mitigate the impact of medical error in your data labeling pipeline by intelligently aggregating multiple expert opinions together
Chris Hilger
Dec 8, 2020
Our collection of open source datasets for medical AI
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
Chris Hilger
Dec 3, 2020
The power of metadata
Understand how Centaur Labs' data annotation platform offers richer results than traditional data labeling vendors
Chris Hilger
Oct 20, 2020
Building a scalable and accurate medical data labeling pipeline
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
Chris Hilger
Aug 1, 2020
How multiple opinions drive huge gains in data labeling accuracy
How Centaur Labs leverages multiple expert opinions to create the most accurate medical data labeling platform for text, image and video data
Chris Hilger
May 1, 2020