Solutions
Audio clips from medical devices are critical indicators of patient health, and can be leveraged to train predictive algorithms that detect heart conditions, lung abnormalities, and more.
Our annotation platform is tailored specifically to medical audio clips, with features such as range selection, spectrogram integration, and motion data integration.
Tag the presence of, intensity and time range of heart murmurs, rubs, clicks, S1, S2 and more.
Tag the presence of, intensity and time range of crackles, ronchi, wheezes, stridor, breath sounds and more.
Tag the presence of, intensity and time range of bruits and Korotkoff sounds.
Tag the presence of, intensity and time range of bowel sounds, rubs, or vascular bruits.
Tag intonation, emotion, symptoms and medications discussed in clinical interactions.
Eko Health uses Centaur Labs to annotate lung sounds for its AI-enabled digital stethoscope that detects heart and lung abnormalities.
Testimonials
“The Centaur Labs platform provided labels at a scale that was 10x, or 20x, anything we had done by ourselves. Tremendous scale, tremendous throughput, and high quality labels.”
"I was very impressed by the Centaur Labs approach to annotation. They provided us with excellent labels on what was a difficult task and noisy data. Centaur Labs understood what the issues were from the beginning, and were able to help steer the project for us."
Machine Learning Team Lead at Feebris
1 email from the founders of Centaur Labs per month
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