Speech analysis app predicts worsening heart failure before
A voice analysis app used by heart failure patients at home recognizes fluid in the lungs three weeks before an unplanned hospitalization or escalation in outpatient drug treatment. The system tested in this study was able to predict 80% of worsening heart failure in advance, compared to a 10–20% success rate for daily weight monitoring shown in previous studies. In the future, speech analysis, together with other clinical information, could be used to modify treatments before a patient's condition deteriorates and thereby avoid hospital admission.

The study included 180 patients with heart failure taking guideline recommended medications. At the beginning of the study, as a baseline measurement, participants recorded five sentences on a standard smartphone using the voice analysis app. During the study period, every morning before breakfast patients recorded the same five sentences using the app. The app compared each day's recordings with the baseline versions and alerted research staff when it detected lung congestion.

During the study, patients provided recordings for an average of 512 days. A total of 49 heart failure events occurred in 37 patients, of which 39 (80%) were correctly predicted by the app and 10 (20%) were missed. True alerts were issued a median of 21 days before worsening symptoms. Each patient received a false alert every 4.8 months on average, resulting in an average of 2.5 erroneous warnings each year.

Source: https://www.sciencedirect.com/science/article/pii/S2213177921004777?via=ihub
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