Inspiration
Xinefair is inspired in the use of AI for improving health. We are focus on the detection of COVID19 that achieves higher accuracies and enables diagnostic clinical evaluation based only on acoustic data analytics and non-invasive clinical observations.
What it does
At this urgent time, we are using Machine Learning and Signal Analysis to classify and detect acoustic signature patterns from COVID-19 patients as a pre diagnostic tool, as a post confirmation to reduce false positive and false negative and as a recovery sensor to help patients to stabilize and achieve their normal breathing patterns.
What's next for Xinefair
Acquiring data from patients to train our algorithms.
Tune our current Frequency-based analysis detection algorithms to distinguish the types of acoustic signals and classify patients accurately.
Evaluation of patients breathing patterns to create a recovery protocol which is non invasive and guarantees AI support when nurses and doctors cannot be there.
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