Solutions
Waveforms are important for monitoring patient health and can be used to train predictive algorithms for detecting various medical conditions. Our annotation platform allows clients to classify features within the waveform and segment regions of interest.
Detecting sharp waves, spikes, or spike-and-wave complexes can help in identifying epilepsy, seizures, stroke, or the presence of a tumor.
Tag patterns such as P waves, size variations like T wave amplitude, and time ranges like QRS complex and R-R intervals are all indicators of cardiac rhythm disturbances, blood flow, and electrolyte changes.
Identifying fiducial points and noise in the waveform helps to better understand changes in blood volume in peripheral circulation.
ClassificationRange SelectionXANA accelerates AI development with speedy access to millions of diverse data points. Rooted in quality, it ensures consistent performance, advanced insights, and top-notch privacy across various industries and data types.
Stop annotating data slowly with in-house teams or outsourcing to teams whose quality you can't control.
Access the Centaur Labs network of thousands of medical doctors, professionals, researchers and students for skilled annotation
You define quality. We rigorously measure and manage it.
Incentivize labeler performance with small batch, mobile-first competitions. Labelers are only paid for performance and give 100% of their effort on every case
Proactively understand the nuances of your dataset, so your data works with you, not against you.
Leverage case-level insights to inform model development e.g. precision-recall curves, label distribution, labeler agreement
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