The Journey of AI Clinical Solutions
From data labeling to data set preparation, from preprocessing to deep learning, and from post-processing to label merging, the algorithm is developing in a strict experiment.
We can amplify breath sounds, identify abnormal respirations, calculate the rate, and send an alert to physicians when apnea occurs.
Thorough cooperation with clinical department, so far, we have collected more than 10 thousands data with 30% event rate.
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