“As we receive more training data from our users, the AI becomes smarter and better able to predict general speech pathology patterns related to different conditions,” says Weissberg. “This will lessen the training time for future users because the AI engine has already implemented those learnings. So, there’s a real crowdsourcing element at work here that we think will benefit our users over the long-term.”

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